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Association rule learning
Results: 289

#	Item
211	Frequent Itemset Mining for Query Expansion in Microblog Ad-hoc Search Younos Aboulnaga Charles L. A. Clarke Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2013-02-12 08:11:23 Association rule learning Okapi BM25 Query expansion Relevance feedback Tf*idf Ranking function Relevance Search engine indexing Stemming Information science Information retrieval Science
212	Mining Topic-Specific Concepts and Definitions on the Web Bing Liu Chee Wee Chin Add to Reading List Source URL: www.cs.uic.edu Language: English - Date: 2003-04-28 15:43:10 Information Information retrieval Data analysis Natural language processing Machine learning Text mining Association rule learning Semantic Web Cluster analysis Information science Science Data mining
213	MSHA - Comments on Public Rule Making - Proximity Detection Systems for Underground Mines Add to Reading List Source URL: www.msha.gov Language: English - Date: 2014-07-18 14:23:18 Association rule learning Joy Mining Machinery Mining Mine Safety and Health Administration Safety engineering
214	Package ‘RWeka’ July 2, 2014 Version[removed]Title R/Weka interface Description An R interface to Weka (Version[removed]Weka is a collection of machine learning algorithms for data mining Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 10:22:42 Data mining Statistical classification Weka Data analysis Decision tree learning R Association rule learning Arff Support vector machine Statistics Machine learning Computational statistics
215	Package ‘arulesNBMiner’ July 30, 2014 Version[removed]Date[removed]Title Mining NB-Frequent Itemsets and NB-Precise Rules Author Michael Hahsler Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-30 12:25:26 Data management Estimation theory Expectation–maximization algorithm Statistics Data mining Association rule learning
216	Mining Approximate Frequent Itemsets In the Presence of Noise: Algorithm and Analysis 1 Jinze Liu, 1 Susan Paulsen, 2 Xing Sun, 1 Wei Wang, 1,2 Andrew Nobel, 1 Jan Prins 1 Add to Reading List Source URL: www.cs.ucla.edu Language: English - Date: 2006-05-03 17:58:57 Matrix Information science Sequence mining Apriori algorithm Data mining Association rule learning Data management
217	Microsoft Word - handbook_v3.doc Add to Reading List Source URL: www.cs.ucla.edu Language: English - Date: 2005-06-24 16:50:44 Statistical classification Cluster analysis Data analysis Association rule learning Clustering high-dimensional data Support vector machine Curse of dimensionality Linear classifier Oracle Data Mining Statistics Machine learning Data mining
218	Sequential Pattern Mining in Multi-Databases via Multiple Alignment Hye-Chung (Monica) Kum† † Joong Hyuk Chang‡ Add to Reading List Source URL: www.cs.ucla.edu Language: English - Date: 2005-07-09 17:01:34 Data management Association rule learning Pattern Structure mining Database Sequence mining Data mining Information technology management Information
219	Mining Approximate Frequent Itemsets from Noisy Data 1 Jinze Liu, 1 Susan Paulsen, 1 Wei Wang, 1,2 Andrew Nobel, 1 Jan Prins 1 Department of Computer Science Add to Reading List Source URL: www.cs.ucla.edu Language: English - Date: 2005-11-21 16:11:57 Data Association rule learning Data analysis Database management systems Relational database management systems Database SQL Sequence mining Apriori algorithm Data mining Data management Information technology management
220	doi:[removed]j.datak[removed] Add to Reading List Source URL: www.cs.ucla.edu Language: English - Date: 2007-11-08 12:25:25 Data Bioinformatics Association rule learning Design Sequence alignment Pattern Sequence mining Data mining Data management Information

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