I Became Insane, With Long Intervals Of Horrible Sanity Essay

I became insane, with long intervals of horrible sanity. ― Edgar Allan Poe Edgar Allan Poe is an American poet well-known for his eerie and gothic based themes. In fact, his tales of mystery and horror were the first to give rise to detective stories. In his short story, â€Å"The Tell-Tale Heart† (1843), Poe invites us to experience a sinister and mystifying murder through the mind of the murderer, the narrator himself. This self-narrated tale takes place in a house that the narrator shares with an old man. The story’s focal characters are the narrator and the old man, both of whom are left nameless. It is probable that the narrator is telling the story from either prison or an insane asylum. He tries to justify his sanity; however, his actions prove otherwise. This tale revolves around the narrator s passion to kill the old man because of his â€Å"evil eye† and the obsessed mind of the narrator who hears the beating of the dead man’s heart—solely within his own tortured imagination which causes the reader to question if the narrator is mentally sane or not. By analyzing how Poe’s early life influenced his work, I will demonstrate how Poe’s story engages readers with two widely occurring, but rarely explored elements of human experiences: a guilty conscience and the descent into madness. He takes his inner emotions to the extreme through his work and portrays the message that a guilty conscience will drive you insane. I will be analyzing how Poe’s early influences affect theShow MoreRelatedAnalysis Of Edgar Allan Poe s I Became Insane, With Long Intervals Of Horrible Sanity 1497 Words   |  6 PagesAs stated by Edgar Allen Poe, a prominent gothic author, â€Å"I became insane, with long intervals of horrible sanity† (Poe). Gothic authors were known for writing about insanity, but also becoming insane themselves. Poe was one of the authors that were known for becoming insane after writing about it for so long. Gothic period authors use terror and horror throughout nove ls, as well. Gothic literature was written in the late eighteenth and early nineteenth century. American Gothicism adapted the writingRead MorePoe Essay809 Words   |  4 PagesEdgar Allan Poe said â€Å"I became insane, with long intervals of horrible sanity.† Throughout his short stories; â€Å"The Black Cat† and â€Å"The Tell-Tale Heart†, Poe sets up his characters to subconsciously reveal their insanity. Often using syntax clues and patterns, Poe shows the madness of the narrators of his short stories. The constant theme of denial of insanity further convinces the reader of the character’s psychosis. Characters themselves often prove they are not in touch with reality through theirRead MoreEssay On The Tell Tale Heart815 Words   |  4 Pagesâ€Å"I became insane, with long intervals of horrible sanity†. A quote from one of Edgar Allan Poe’s more famous stories The Tell Tale Heart. Edgar Allan Poe’s writing is still famous to t his day. Not only his writing but his life. He is known for having a difficult life and writing about it in a not so obvious way. Through all his poems and short stories there are little hints everywhere that relate to his life. Depression, insanity and Tuberculosis were all common topics from Poe’s writing that relatedRead MoreThe Tell-Tale Heart Confession593 Words   |  2 Pageshis deceased corrs. The narrator confessed his crime for three reasons which were: he was insane, he could not deal with the heartbeat, and he wanted to noise to go away. The first reason for the narrators confession was insane. Edgar Allan Poe quotes â€Å"I became insane, with long intervals of horrible sanity†(Poe). Poe means by this quote that things that he saw in the world while he was not crazy mad him insane. After the police came into the the narrators master’s, the narrator began chatting withRead MoreThe Shining, By Stephen King And Directed By Stanley Kubrick1299 Words   |  6 Pagesâ€Å"I became insane, with the long intervals of horrible sanity†, Edgar Allan Poe. Madness is characterized by â€Å"the state of being mentally ill†, otherwise known as insanity. Twisted Fate, written by Norah Olson, and the book/movie The Shining, written by Stephen King and directed by Stanley Kubrick, are both examples of how the main characters fall into madness. The word sane is derived from sanus, which is a Latin adjective, meaning healthy. Therefore, insane would be classified as not healthy. ThereRead MoreThe Influence of Alcohol and Drugs in Edgar Allen Poe Life Essay991 Words   |  4 PagesThe influence of alcohol and drugs in Edgar Allan Poe’s life â€Å"Deep into that darkness peering, long I stood there, wondering, fearing, Doubting, dreaming dreams no mortal ever dreamed before† (Edgar Allan Poe). Darkness and sadness are strong characteristics of Edgar Allan Poe’s writing. The tragedies during his life, such as the death of his biological and adoptive moms, followed by the death of his young wife Virginia were important factors which formed his gothic style. Poe is known forRead MoreEdgar Allan Poe s Life Filled With Sorrow And Pain892 Words   |  4 PagesFrances Allan, although never actually adopted him. John Allan moved his family to Britain in 1815 where Poe attended grammar (elementary) school in Irvine Scotland. He then attended boarding school until 1817(Wiki). After school, Poe proposed and became engaged to his fiancà © Sarah Royster. He then decided to attend the University of Virginia. Poe began gambling and acquired great debt. He fell out of touch with Sarah and this spurred on his addiction more. Eventually Poe ran out of money. He askedRead MoreUniversity Of Virginia Dismissal Essay1212 Words   |  5 Pagesthese debts–debts caused by his lack of generosity! I was forced to borrow money from merchants to pay for my schooling! I was left with no other choice but to gamble in order to pay it back! I had no other means to pay it back. He refuses to help me pay back this debt because I had gambled, but it was he who caused me to go such great lengths! He will not allow me to continue studying here. I will return to Richmond, what I will be doing there, I do not know. -Edgar https://www.shmoop.com/poe/timelineRead MoreThe Dark Side of Writing: Edagar Allan Poe and Stephen King Essay1478 Words   |  6 Pages Which Virginia at first was Edgar’s delivery woman of letters to love interests but then Virginia became Edgar’s love interest. According to Poe Museum’s website, Poe took Virginia and Aunt Maria Clemm to Richmond, Virginia, Edgar Allan Poe’s childhood hometown. This is where Poe decided to marry Virginia when she was only thirteen years old and Poe was twenty seven. Sadly, Poe did not have a long relationship with Virginia. Virginia was only twenty five years old. When Virginia died, Poe was veryRead More Journal Analyzing the Byronic Hero and Lord Byron’s Writing Styles3002 Words   |  13 Pageswith less of gloom†¦Ã¢â‚¬  (Byron,C.H.211). He also represses his passions creating an unrequited obsession when, â€Å"He bids to sober joy that here sojourns: nought interrupts the riot, though in lieu of true devotion monkish incense burns†¦Ã¢â‚¬  and â€Å"had buried long his hopes, no more to rise: pleasure’s pall’d victim! Life-abhorring gloom.†(Byron,C.H. 193) In these remarks, the Hero prefers to bask in sorrow for a love lost or never attained than to pursue the object of his desire. The Byronic Hero prides

My Writing And Writing Style Essay - 1300 Words

Like transforming from a caterpillar to a butterfly, my writing style transformed from something mediocre to something quite exceptional. In high school, even when I took advanced placement English and Literature courses, I was never good at writing. My writing would lack structure, reasoning, syntax, and a well-defined thesis statement. My inadequate grades on writing assignments lowered my self-esteem, so I assumed I would never enjoy writing papers because I believed I could never improve. However, since attending a university my writing style has improved far beyond my expectation. My EN 101 course enhanced my understanding of the different ways I could approach my writing. Also, it enhanced my comprehension of outlines to complete assignments. Investing quality time into my writing made a substantial difference because I became a stronger writer. Through the late nights, constant revisions, and agonizing head traumas, I learned that my writing is truly spectacular whenever I inc orporate well-defined thesis statements, provide sufficient supporting evidence, and maintain a clear focus in my assignments. My papers used to lack purpose and organization because I did not know how to write a thesis statement, which is a road map for any academic essay. After I submitted my second essay assignment for EN 101, I learned how to write a well-defined thesis statement that introduces my main ideas. The paper entitled â€Å"The Secrets of Virtual Scammers!† contained a well-definedShow MoreRelatedMy Writing Style And Writing890 Words   |  4 PagesWriting was never a known weakness of mine. However, I could never confidently call it a strength. Throughout the course of this semester, my writing style has evolved and I have rid my writing of many habitual mistakes. I have learned to appreciate writing much more, and enjoy the moments where my mind meets words on a paper. Creativity has always been one of my strong suits, but through this course I catered my creativity to compose a variety of essays and speeches. Likewise, public speaking isRead MoreMy Writing Style Of Writing905 Words   |  4 PagesThroughout this class I have learn many different writing styles. We used APA form of writing to type our paper and essay. I have also learned that it’s good to take your time and spend more time thinking about what to write, other than just righting a paper right off back. I have learned that it’s not a good idea to write a paper on the day it’s done, that’s more like a ruff daft. My teacher have helped me understand different point of writing. Which all writing deal with an ethos, pathos and logos, eitherRead More My Writing Style1718 Words   |  7 PagesWhenever I get a writing assignment for class, it seems like a chore. 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My writing skills have only gotten betterRead MoreMy Personal Writing Style1549 Words   |  7 Pagespeople speak around 16000 words a day (Huynh). On the other hand, writing is a more formal and concise way of communication than speaking. However, a person need to practice in order to write well. Throughout years, its writing habit developed, writing style progressed, and writing content varied. In this essay, I would reflect on my own writing process now, how my writing progressed throughout three years in PRISMS, and On Writing. Writing starts with thinking about a prompt. I think about what I wantRead More My Writing Style Essay1173 Words   |  5 PagesMy Writing Style We all have a style, and it would seem that I wouldnt know another style, better than I know my own. However, I really wasnt aware that every circumstance causes me to change my style accordingly. It seems that we are all just actors and actresses, playing various social roles, and yet we think we are being our self. There were times when I was really nervous, perhaps before a job interview or meeting new people, and my mom would say , dont be nervous, just go and beRead MoreMy Writing Style And Skills900 Words   |  4 Pagesme about how I formulate ideas and outlines to my papers and visual works. My writing style and skills have gone through many changes throughout English 150 but by far there have been three areas where I have seen the most improvement. How I compose and formulate my works, using certain resources and how I integrated them into my paper, how I edit those works, and how well I use the advice and guidance from my peers to help me revise or complete my works. Composing and formulating to me should beRead MoreMy Personal Writing Style1334 Words   |  6 Pagesown writing styles, and they choose it depends on the situation. I am a college student, so I have opportunities to write academic writings such as essays and e-mails. I am young, so I use informal writing styles such as slang and abbreviation words. I use both Japanese and English. English is not my native language, so I usually use Japanese more often than English. I worked at the restaurant when I was a high school student in Japan, so I have variable acquaintance. I learned that my writing styleRead MoreMy Writing Style And Abilities994 Words   |  4 PagesFinal Essay Within being enrolled for EN11, as well as EN12, I believe that I have made significant improvements in my writing style and abilities. From the first semester, I struggled with choosing one side of the argument or assignment, focusing on such topic and being more specific about it, rather than incorporating a more general idea of both sides that could be taken. By the end of the semester, I believe I had made noteworthy progress of keying into one idea and focusing on the major detailedRead MoreMy Writing Style Of The Professor961 Words   |  4 Pagesmost thing that I like with this class is the teaching style of the professor. The professor made the course very interesting, because when I came to the Tuesday class, I can learn the knowledge from the Asian American history, and when I went to the Thursday class, I can listen to my classmates’ opinion. This is what I like about the teaching style of the professor. I can actually learn things from the class, and I also can discuss with my classmates about the article. In this letter, I will discuss

Web Mining Homework Free Essays

string(122) " cleaning and transformation phase needs to take place so as to prepare the information for data mining algorithms \[6\]\." A Recommender System Based On Web Data Mining for Personalized E-learning Jinhua Sun Department of Computer Science and Technology Xiamen University of Technology, XMUT Xiamen, China jhsun@xmut. edu. cn Yanqi Xie Department of Computer Science and Technology Xiamen University of Technology, XMUT Xiamen, China yqxie@xmut. We will write a custom essay sample on Web Mining Homework or any similar topic only for you Order Now edu. cn Abstract—In this paper, we introduce a web data mining olution to e-learning system to discover hidden patterns strategies from their learners and web data, describe a personalized recommender system that uses web mining techniques for recommending a student which (next) links to visit within an adaptable e-learning system, propose a new framework based on data mining technology for building a Web-page recommender system, and demonstrate how data mining technology can be effectively applied in an e-learning environment. Keywords–Data mining; web log,;e-learning; recommender readily interpreted by the analyst. A virtual e-learning framework is proposed, and how to enhance e-learning through web data mining is discussed. II. RELATED WORK I. INTRODUCTION With the rapid development of the World Wide Web, Web data mining has been extensively used in the past for analyzing huge collections of data, and is currently being applied to a variety of domains [1]. In the recent years, e-learning is becoming common practice and widespread in China. With the development of e-Learning, massive amounts of learning courses are available on the e-Learning system. When entering e-Learning System, the learners are unable to know where to begin to learn with various courses. Therefore, learners waste a lot of time on e-Learning system, but don’t get the effective learning result. It is very difficult and time consuming for educators to thoroughly track and assess all the activities performed by all learners. In order to overcome such a problem, the recommender learning system is required. Recommender systems are used on many web sites to help users find interesting items [2], them predict a user’s preference and suggest items by analyzing the past preference information of users, e-learning system is applied on the basis of the method. The user’s learning route is given and then provides the relevant learners useful messages through dynamically searching for the appropriate learning profile. This paper recommends learners the studying activities or learning profile through the technology of Web Mining with the purpose of helping they adopt a proper learning profile, we describe a framework that aims at solution to e-learning to discover the hidden insight of learning profile and web data. We demonstrate how data mining technology can be effectively applied in an e-learning environment. The framework we propose takes the results of the data mining process as input, and converts these results into actionable knowledge, by enriching them with information that can be The route where the learner browses through the web pages will be noted down in Web log, carries on the technology of Web mining through Learning Profile and Web log, and analyzes from the materials related to association rule. It can be found the best learning profile from this information. These learning profiles combine with the Agent and put them on the learning website. Furthermore, the Agent recommends the function of learning profiles on learning website. Therefore, the learner will acquire a better learning profile. This chapter briefly illustrates the relevant contents including: e-Learning, Learning Profile, Agent, Web Data mining and Association rule. A. E-learning E-learning is the online delivery of information for purposes of education, training, or knowledge management. In the Information age skills and knowledge need to be continually updated and refreshed to keep up with today’s fastpaced study environment. E-learning is also growing as a delivery method for information in the education field and is becoming a major learning activity. It is a Web-enabled system that makes knowledge accessible to those who need it. They can learn anytime and anywhere. E-learning can be useful both as an environment for facilitating learning at schools and as an environment for efficient and effective corporate training [3]. B. A Glance at Web Data Web usage mining performs mining on web data, particularly data stored in logs managed by the web servers. All accesses to a web site or a web-based application are tracked by the web server in a log containing chronologically ordered transactions indicating that a given URL was requested at a given time from a given machine using a given web client (i. e. browser). As shown in table 1, Web log contains the website â€Å"hit† information, such as visitor’s IP address, date and time, required pages, and status code indicating. The web log raw 978-1-4244-4994-1/09/$25. 00  ©2009 IEEE data is required to be converted into database format, so that data mining algorithms can be applied to it. TABLE I. WEB LOG EXAMPLES Web logs 172. 158. 133. 121 – – [01/Nov/2006:23:46:00 -0800] â€Å"GET /work /assignmnts/midterm-solutions. pdf HTTP/1. 1†³206 29803 2006-12-14 00:23:56 209. 247. 40. 108 – 168. 144. 44. 231 GET /robots. txt – 200 600 119 125 HTTP/1. 0 www. a0598. com ia_archiver – – sefulness and certainty of a rule respectively [5]. Support, as usefulness of a rule, describes the proportion of transactions that contain both items A and B, and confidence, as validity of a rule, describes the proportion of transactions containing item B among the transactions containing item A. The associat ion rules that satisfy user specified minimum support threshold (minSup) and minimum confidence threshold (minCon) are called strong association rules. D. Web Mining for E-learning Learning profile help learner to keep a record of their current knowledge and understanding of e-learning and elearning activities. Web mining is the application of data mining techniques to discover meaningful patterns, profiles, and trends from both the content and usage of Web sites. Web usage mining performs mining on web data, particularly data stored in logs managed by the web servers. The web log provides a raw trace of the learners’ navigation and activities on the site. In order to process these log entries and extract valuable patterns that could be used to enhance the learning system or help in the learning evaluation, a significant cleaning and transformation phase needs to take place so as to prepare the information for data mining algorithms [6]. You read "Web Mining Homework" in category "Papers" Web server log files of current common web servers contain insufficient data upon which to base thorough analysis. The data we use to construct our recommended system is based on association rules. E. Recommendation Using Association Rules One of the best-known examples of data mining in recommender systems is the discovery of association rules, or item-to-item correlations [7]. Association rules have been used for many years in merchandising, both to analyze patterns of preference across products, and to recommend products to consumers based on other products they have selected. Recommendation using association rules is to predict preference for item k when the user preferred item i and j, by adding confidence of the association rules that have k in the result part and i or j in the condition part [4]. An association rule expresses the relationship that one product is often purchased along with other products. The number of possible association rules grows exponentially with the number of products in a rule, but constraints on confidence and support, combined with algorithms that build association rules with item sets of n items from rules with n-1 item sets, reduce the effective search space. Association rules can form a very compact representation of preference data that may improve efficiency of storage as well as performance. In its simplest implementation, item-to-item correlation can be used to identify â€Å"matching items† for a single item, such as other clothing items that are commonly purchased with a pair of pants. More powerful systems match an entire set of items, such as those in a customer’s shopping cart, to identify appropriate items to recommend. The web data is massive since the visitor’s every click in the website will leave several records in the tables. This also allows the website owner to track visitors’ behavior details and discover valuable patterns. C. Data Mining Techniques The term data mining refers to a broad spectrum of mathematical modeling techniques and software tools that are used to find patterns in data and user these to build models. In this context of recommender applications, the term data mining is used to describe the collection of analysis techniques used to infer recommendation rules or build recommendation models from large data sets. Recommender systems that incorporate data mining techniques make their recommendations using knowledge learned from the actions and attributes of users. Classical data mining techniques include classification of users, finding associations between different product items or customer behavior, and clustering of users [4]. 1) Clustering Clustering techniques work by identifying groups of consumers who appear to have similar preferences. Once the clusters are created, averaging the opinions of the other consumers in her cluster can be used to make predictions for an individual. Some clustering techniques represent each user with partial participation in several clusters. The prediction is then an average across the clusters, weighted by degree of participation. 2) Classification Classifiers are general computational models for assigning a category to an input. The inputs may be vectors of features for the items being classified or data about relationships among the items. The category is a domain-specific classification such as malignant/benign for tumor classification, approve/reject for credit requests, or intruder/authorized for security checks. One way to build a recommender system using a classifier is to use information about a product and a customer as the input, and to have the output category represent how strongly to recommend the product to the customer. 3) Association Rules Mining Association rule mining is to search for interesting relationships between items by finding items frequently appeared together in the transaction database. If item B appeared frequently when item A appeared, then an association rule is denoted as A B (if A, then B). The support and confidence are two measures of rule interestingness that reflect III. WEB DATA MINING FRAMEWORK FOR E-COMMERCE RECOMMENDER SYSTEMS A. A Visual Web Log Mining Architecture for Personalized E-learning Recommender System In this section, we present A Visual Web Log Mining Architecture for e-learning recommender to enable personalized, named V-WebLogMiner, which relies on mining and on visualization of Web Services log data captured in elearning environment. The V-WebLogMiner is such a odel: with the mining technology and analysis of web logs or other records, the system could find learners’ interests and habits. While an old learner is visiting the website, the system will automatically match with the active session and recommend the most relevant hyperlinks what the learner interests. As shown in Figure1, V-WebLogMiner is a multi-layered architecture capable to deal with both Web learner profiles and traditional Web server logs as input data. It maintains three m ain components: data preprocessing module, Web mining module and recommendation module. ) Web Mining Module The Web mining module discovers valuable knowledge assets from the data repository containing learners’ personal data by executes the mining algorithms, tracked data of learners’ performance and behavior, automatically identify each learner’s frequently sequential pages and store them to recommend database. When the learner visit the site next time, hyperlinks of those pages will be added so that the learner could directly link to his individual pages being remembered. The major component of Web mining module is Web data mining which acts as a conductor controlling and synchronizing every component within the module. The Web data mining module is also responsible for interfacing with the storage. The learning profile evaluation component provide profiling tool to collect personal data of learner and tracking tool to observe learners’ actions including like and dislike information. For personalization applications, we apply rule discovery methods individually to every learner’s data. To discover rules that describe the behavior of individual learner, we use various data mining algorithms, such as Apriori [8] for association rules and CART (Classification and Regression Tress) [9] for classification. 3) Recommendation Module The recommendation module is a recommendations engine; it is in charge of bulk loading data from course database, executing SQL commands against it and provides the list of recommended links to visualization tools. For the recommendation module, recommendations engine is responsible for the synchronizing process indexing and mapping, is a component for storing and searching recommend assets to be used in the learning process. The recommendation engine considers the active learners in conjunction with the recommended database to provide personalized recommendations, it directly related to the personalization on the website and the development of elearning system. The task of the recommendation engine is to determine the type of the learner online and compute recommendations based on the recent actions of that learner. The decision is based on the knowledge attained from the recommended database. The recommender engine is activated each time that the learner visits a web page. First, if there are clusters in the recommended database, then the engine has to classify the current learner to determine the most likely cluster. We have to communicate with the engine to know the current number of pages visited and average knowledge of the learner. Then, we use the centroid minimum distance method [10] for assigning the learner to the cluster whose centroid is closest to that learner. Finally, we make the recommendation according to the rules in the cluster. So, only the rules of the corresponding cluster are used to match the current web page in order to obtain the current list of recommended links [11]. 4) The Visualization tools Visualization tools should be used to present implicit and useful knowledge from recommendations engine, Web services usage and composition. Data can be viewed at different levels Figure 1. A visual web mining architecture for Personalized E-learning Recommender System ) Data Preprocessing Module The data preprocessing module is set of programs used to prepare data for further processing. For instance: extraction, cleaning, transformation and loading. This module uses Web log files and learner profile files to feed the data repository. The data preparation component is used to parse and transform plain ASCII files produced by a Web server to a standard database format. This component is important to make the architecture independent fro m the Web server supplier. of granularity and abstractions as patrolled coordinate’s graphs [12, 13]. This visual model easily shows the interrelationships and dependencies between different components. Interactively, the model can be used to discover sensitivities and to do approximate optimization, etc. B. The Procedure of the Data is Explained As show in figure 1, the beginning learner, that is to say the earliest one, will study in the e-Learning teaching platform. The course materials of Web studying system come from the course database. The data of learner’s learning profiles may be recorded in the learner profile files and Web log files. Then next step is to find out the best learning profile from the proceeded data of Web log through web mining to proceed with Association rule and others data mining algorithm. These learning profiles need to be classified—every field has relevant courses and better learning profiles. The recommender engine will offer the list of recommended links when learners study the courses. With the above information and learning profiles, when the future learners study in Web, recommender engine offers related link lists according to recommend database. However, these link lists may not be suitable for all learners. Therefore, after finishing recommendation every time, there are systems of assessing. The learner (n +1) evaluates the learning profiles that are recommended. Because the profiles analyzed by system may not be perfect, if there are adjustments of evaluation would make the recommendation conform to learners’ asks more. These suggestions can help learners navigate better relevant resources and fast recommend the on-line materials, which help learners to select pertinent learning activities to improve their performance based on on-line behavior of successful learners. IV. CONCLUSION AND FUTURE WORK There are some possible extensions to this work. Research for analyzing learners’ past studying pattern will enable to detect an appropriate. Furthermore, it will be an interesting research area to effectively judge session boundaries and to improve the efficiency of algorithms for web data mining. ACKNOWLEDGMENT The authors gratefully acknowledge the financial subsidy provided by the Xiamen Science and Technology Bureau under 3502Z20077023, 3502Z20077021 and YKJ07013R project. REFERENCES [1] [2] D. J. H and, H. Mannila, and P. Smyth. Principles of Data Mining. MIT Press, 2000. J. B. Schafer, J. A. Konstan, and J. Riedl. Recommender systems in ecommerce. In ACM Conference on Electronic Commerce, pages 158166, 1999. Liaw, S. Hung ,H. How Web Technology Can facilitate Learning. Information Systems Management, 2002. Choonho Kim and Juntae Kim, A Recommendation Algorithm Using Multi-Level Association Rules, Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence, p. 524, October 13-17, 2003. J. Han and M. Kamber, Data Mining: Concepts and Techniques, Morgan Kaurmann Publishers, 2000 Za ane, O. R. Luo, J. Towards evaluating learners’ behaviour in a web-based distance learning environment. In Proc. of IEEE International Conference on Advanced Learning Technologies (ICALT01), p. 357– 360, 2001. Sarwar, B. , Karypis, G. , Konstan, J. A. , Reidl, J. Item-based Collaborative Filtering Recommendation Algorithms. Proceedings of the Tenth International Conference on World Wide Web, pp. 285 – 295, 2001. R. Agrawal et al. , Fast Discovery of Association Rules, Advances in Knowledge Discovery and Data Mining, AAAI Press, Menlo Park, Calif. , 1996, chap. 12. L. Breiman et al. Classification and Regression Trees, Wadsworth, Belmont, Calif. , 1984. MacQueen, J. B. Some Methods for classification and Analysis of Multivariate Observations. In Proceedings of of 5-th Berkeley Symposium on Mathematical Statistics and Probability, 1967, pp. 281297. Cristobal Romero, Sebastian Ventura and Jose A. Delgado et al. , Personalized Links Recommendation Based on Data Mining in A daptive Educational Hypermedia Systems, Creating New Learning Experiences on a Global Scale,2007, pp. 292-306. Inselberg, A. Multidimensionl detective, In IEEE Symposium on Information Visualization, 1997, vol. 00, p. 00-110 . Ware, C. Information Visualization: Perception for Design,Morgan Kaufmann, New York, 2000. [3] [4] [5] [6] [7] [8] [9] [10] Recommender systems have emerged as powerful tools for helping users find and evaluate items of interest. The research work presented in this paper makes several contributions to the recommender systems for personalized e-learning. First of all, we propose a new framework based on web data mining technology for building a Web-page recommender system. Additionally, we demonstrate how web data mining technology can be effectively applied in an e-learning environment. [11] [12] [13] How to cite Web Mining Homework, Papers

Bullied - a Film Response free essay sample

Response to the film Bullied Starting in seventh grade Jamie Nabozny was bullied almost daily. He was hit punched, kicked, and called names. He told the principle who said he would get help, but nothing changed. By the end of seventh grade Jamie tried to commit suicide by swallowing pills. Jamie returned to middle school for eighth grade and was cornered in the bathroom on the first day back. His mother immediately demanded a meeting with the bullies and their mothers to try to settle the bullying. The principle blamed Jamie for being openly gay and said boys will be boys. None of the bullies were punished. Just weeks into high school and nothing had changed for Jamie. A bully peed on him. The school administration was largely ineffective. Some teachers tried to help; one teacher let Jamie eat lunch in her classroom. The bullying got so bad Jamie ran away to Minneapolis. We will write a custom essay sample on Bullied a Film Response or any similar topic specifically for you Do Not WasteYour Time HIRE WRITER Only 13.90 / page Jamie ended up in a youth shelter. He tried homeschooling for a while but his parents could not afford to keep him on it and Jamie had to go back to school. While back at school a beating turned so bad that Jamie ended up in the hospital, had surgery, and stayed for five days. Jamie ran away to Minneapolis again, at the youth shelter he met with a legal advocate who encouraged him to file charges. He also issued an ultimatum to his parents; either you let me go to school here or you will not see me until I turn 18. They let him finish his schooling in the cities. Jamie registered at Hastings high school and the counselor recommended Inver Hills Community College for PSEO classes. He was attending Inver Hills while the court case was going on. He sued his former school, but a trial court dismissed his lawsuit. Lambda Legal took over his case before a federal appeals court, which issued the first judicial opinion in the nation’s history finding that a public school could be held accountable for not stopping antigay abuse. The case went back to trial and a jury found the school officials liable for the harm they caused to Nabozny. The case then settled for $900,000. Jamie decided to fight to help prevent other students from going through what he went through. One of Jamie’s main bullies was Roy Grande, who testified truthfully at his trial. Roy’s mother was diagnosed with cancer right before the trial. Roy’s mother was a witness for the defense, but because she was only given six months to live she made her son give a fully truthful testimony. Jamie said the physical pain is long gone but the verbal pain stays and continues to bother him. While attending Inver Hills Jamie sought a counselor and was diagnosed with PTSD from the bullying. This is very important to learn about Jamie’s case now because of the constitutional amendment for gay marriage on the ballot this year. The bullying in the schools will go up this year.