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An Unsupervised Approach to Cluster Web Search Results based on Word Sense Communities J. Chen, O. R. Zaiane and R. Goebel Overview Introduction Our Approach ...
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CARPENTER Find Closed Patterns in Long Biological Datasets Zhiyu Wang Knowledge Discovery and Data Mining Dr. Osmar Zaiane Department of Computing Science
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Title: Information Theoretic Clustering and Co-Clustering for Text Mining Author: Inderjit Dhillon Last modified by: zdl Created Date: 4/1/2003 1:52:25 AM
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CSE 634 Data Mining Techniques Association Rules Hiding (Not Mining) Prateek Duble (105301354) Course Instructor: Prof. Anita Wasilewska State University of New York ...
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Database Laboratory Data Transformation for Privacy-Preserving Data Mining Stanley R. M. Oliveira Database Systems Laboratory Computing Science Department
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Title: Integration of Deduction and Induction for Mining Supermarket Sales Data Author: Dino Pedreschi Last modified by: Fosca Giannotti Created Date
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There are various algorithms for hiding a group of association rules, which is ... Association Rule Hiding Techniques. Blocking-based Technique (Saygin, ...
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Privacy-Preserving Data Mining Stanley R. M. Oliveira Database Systems Laboratory Computing Science Department University of Alberta, Canada PhD Thesis - Final ...
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An Experimental Study of Association Rule Hiding Techniques. Emmanuel Pontikakis ... Blocking-based Technique (Saygin, ... SIGKDD 2002, Edmonton, Alberta Canada. ...
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Design graphical user interfaces based on a data mining query language ... CIKM'94, Gaithersburg, Maryland, Nov. 1994. R. Meo, G. Psaila, and S. Ceri. ...
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Example 1. Example 1 Cont... The key for this table is the combination of StudentID and ClassID. ... between students and teachers is implied. Classes. Teachers ...
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16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining Outlier Detection Techniques Hans-Peter Kriegel, Peer Kr ger, Arthur Zimek Ludwig-Maximilians ...
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home exam: min 13 points (max 30 points) exercises/experiments: min 8 points (max 20 points) ... different items that customers place in their 'shopping basket' ...
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Solomon European Network - Data Mining and Decision Support Courses (http://www. ... Lecture notes (http://hake.stanford.edu/~ullman/mining/mining.html) ...
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The current fastest crawlers are able to traverse up to 10 million Web pages per ... Crawlers can also have problems with HTML pages that use frames or image maps. ...
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Hope: In the absence of cocncept drifts, not many changes in status ... SWIM's middle-road approach: incrementally maintain frequent patterns over sliding windows ...
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Fill in missing values, smooth noisy data, identify or remove outliers, and ... Fill in missing values. Identify outliers and smooth out noisy data. Correct ...
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Project Presentation CPSC 695 Prepared By: Priyadarshi Bhattacharya Outline of Talk Introduction to clustering and its relevance to my research interests.
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database, theory A family of well-founded semantics used for modeling the data ... (Free Online Dictionary of Computers) Definitions, syntax, examples. Exercises ...
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... this page included in the user's bookmarks? How long has the user spend ... Bookmark. Direct URL. Search Engine. Wandering. Seeking. User Community Construction ...
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fetching the Web pages, and storing to local host; Document Clustering ... picture, gallery, pic, return, previous, completed, room, frame, ready, building ...
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Frequent pattern: a pattern (a set of ... Exercise. DB = { a1, ..., a100 , a1, ..., a50 } Min_sup = 1. ... Example: check abcd instead of ab, ac, ..., etc. ...
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Information systems typically include entities that belong in more than one ... Set of property specifications surrounded by { } (set braces) OO Data Modeling ...
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... cross-marketing, catalog design, sale campaign analysis, Web ... Interior node ... Improving Apriori: general ideas. Reduce passes of transaction ...
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Survey on Web Mining. My Research. More information in WWW, too much time spend to surf ... Most researchers only list their mining results, without statement on the ...
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A sub-field of information retrieval and text mining. ... 'An Introduction to the Sundance and Autoslog Systems', Technical Report, ...
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Data Mining: Association
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The Asilomar Report urges the database research community to contribute in ... Gopher. HTML. WEBSQL. More structures. XML. WEBML. Crawling. Indexing search. Crawling ...
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... g., 98% of people who purchase tires and auto accessories also get automotive services done ... E.g., small sales (sum 100) trigger big buys (sum 1,000) ...
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... rules from transactional databases and data warehouse ... abcd from abc and abd. acde from acd and ace. Pruning: acde is removed because ade is not in L3 ...
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WebLog (Lakshmanan et.al. 1996), WebOQL(Mendelzon et.al. 1998) ... Construct multidimensional view on the Weblog database ... Perform data mining on Weblog records ...
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Introduction given in the first lecture September 2004
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In practice, data mining and knowledge discovery are becoming synonyms. ... Kinds of databases to be mined, and Transaction data, multimedia data, text ...
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At Stanford Motwani served as a professor and director of graduate studies for ... Long-running competitions over multiple years ...
Data mining (knowledge discovery from data) ... Knowledge discovery (mining) in databases (KDD), knowledge extraction, data ... Late work penalized 10%/day ...
CS590D: Data Mining Chris Clifton January 10, 2006 Course Overview What Is Data Mining? Data mining (knowledge discovery from data) Extraction of interesting (non ...
... Web Usage Mining & Personalization in Noisy, Dynamic, and Ambiguous Environments ... Personalization in Noisy, Dynamic, and Ambiguous Environments. Olfa Nasraoui ...
Die Vorlesung orientiert sich an dem Buch von J. Han und M. Kamber: Data Mining, ... and fouls) to gain competitive advantage for New York Knicks and Miami Heat ...
