The most common techniques employed in data mining are decision trees, neural networks, cluster analysis, and regression. The results are typically used to describe relationships in data or to make predictions.
Numerous examples are provided to lucidly illustrate the key concepts. -Sanjay Ranka, University of Florida In my opinion this is currently the best data mining text book on the market. I like the comprehensive coverage which spans all major data mining techniques including classification, ...
Conf. on Very Large Data Bases (VLDB), pages 478-499, June 1994. V. 课后研读论文 主要参考资料: [1] Jiawei Han, Micheline Kamber著. 范明, 孟小峰 等译. 数据挖掘: 概念与技术. 机械工业出版社, 2001. (注:Data Mining: Concepts and Techniques (Second Edition)将于2005年11月正式出版) [2] ...
IntroductiontoDataMining 精品PPT 4/18/2004 ‹#› WhyMineData?ScientificViewpoint Datacollectedandstoredatenormousspeeds(GB/hour)–remotesensorsonasatellite–telescopesscanningtheskies–microarraysgeneratinggene expressiondata–scientificsimulations generatingterabytesofdata Traditionaltechniquesinfeasibleforrawdata Data...
E-commerce websites use Data Mining to offer cross-sells and up-sells through their websites. One of the most famous names is Amazon, which uses Data mining techniques to get more customers into their eCommerce store.Data Types in Data Mining ...
–Use these information as input attributes to learn a classifier model 26 Source: Data Mining Techniques, Berry and Linoff, 1997 Classification: Fraud Detection • Goal: Predict fraudulent cases in credit card transactions • Approach: –Use credit card transactions and the information...
6, transfer learning with text data: for cross-lingual mining in some web source 7, probabilistic techniques for test mining 8, mining text streams: for Reuters and news 9, cross-lingual mining of text data 10, text mining in multimedia networks ...
Use this information as input attributes to learn a classifier model. From [Berry & Linoff] Data Mining Techniques, 1997 © Tan,Steinbach, Kumar Introduction to Data Mining 4/18/2004 ‹#› Cl assi f i cat i on: Appl i cat i on 2 ...
Mining — The more data the better (usually) 13 3. Statistical Machine Learning Algorithms — Techniques have often been waiting for computing technology to catch up — Statisticians already doing “manual data mining” — Good machine learning is just the intelligent application of statistical ...
Chapter 13 gives an introduction to text mining, i.e., the application of data mining techniques like classification to text doc- uments like e-mail messages, mobile phone text messages (SMS = Short Message Service) or web pages collected from the World-Wide Web. In order to detect text ...