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Association rule learning
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#	Item
11	Abstract of “Sampling-based Randomized Algorithms for Big Data Analytics” by Matteo Riondato, Ph.D., Brown University, MayAnalyzing huge datasets becomes prohibitively slow when the dataset does not fit in mai Add to Reading List Source URL: matteo.rionda.to Language: English - Date: 2016-07-30 12:22:15 Network theory Mathematics Graph theory Discrete mathematics Networks Network analysis Betweenness centrality Centrality Association rule learning Eli Upfal Shortest path problem
12	Note to other teachers and users of these slides: We would be delighted if you found this our material useful in giving your own lectures. Feel free to use these slides verbatim, or to modify them to fit your own needs. Add to Reading List Source URL: mmds.org Language: English - Date: 2014-08-11 12:57:47 Food and drink Data mining Association rule learning Data management Information technology Computing Jeffrey Ullman Market basket Basket Beer Anand Rajaraman Milk
13	Mining Predictive Patterns in Sequences of Events Add to Reading List Source URL: www.aaai.org Language: English - Date: 2006-01-11 09:31:03 Cybernetics Applied mathematics Mathematical optimization Cognitive science Data mining Information science Bioinformatics Machine learning Genetic algorithm Association rule learning Gene prediction
14	Data Min Knowl Disc:169–214 DOIs10618x K RIMP: mining itemsets that compress Jilles Vreeken · Matthijs van Leeuwen · Arno Siebes Add to Reading List Source URL: eda.mmci.uni-saarland.de Language: English - Date: 2011-05-19 07:17:24 Algorithmic information theory Minimum description length Regular expression Data mining Apriori algorithm Bioinformatics Association rule learning
15	Randomly Sampling Maximal Itemsets Sandy Moens and Bart Goethals Frequent Itemset Mining •  Finding interesting patterns by e.g. support Add to Reading List Source URL: poloclub.gatech.edu Language: English - Date: 2013-08-20 15:05:09 Data mining Sampling Survey methodology Redundancy Sequential pattern mining Association rule learning
16	Randomly Sampling Maximal Itemsets Sandy Moens Bart Goethals University of Antwerp, Belgium Add to Reading List Source URL: poloclub.gatech.edu Language: English - Date: 2013-07-08 06:03:24 Data mining Sampling techniques Association rule learning Data management Survey methodology Market research Sampling Simple random sample Probability distribution Cross-validation
17	Crowd Mining Yael Amsterdamer Yael Grossman Tova Milo Add to Reading List Source URL: www.cs.tau.ac.il Language: English - Date: 2013-04-11 12:18:56 Statistical inference Summary statistics Confidence interval Econometrics Measurement Psephology Normal distribution Association rule learning Statistical hypothesis testing Probability distribution Wisdom of the crowd Sample size determination
18	Association Discovery in Two-View Data (Extended Abstract) Matthijs van Leeuwen Esther Galbrun Add to Reading List Source URL: www.patternsthatmatter.org Language: English - Date: 2016-01-15 06:48:18 Data mining Data management Theoretical computer science Association rule learning Database Lossless compression Algorithm Data analysis Relational data mining
19	CrowdMiner: Mining association rules from the crowd Yael Amsterdamer1 , Yael Grossman1 , Tova Milo1 , and Pierre Senellart2 1 2 Tel Aviv University Add to Reading List Source URL: www.cs.tau.ac.il Language: English - Date: 2013-08-22 07:12:29 Data mining Association rule learning Data management Confidence interval Normal distribution
20	PARMA: A Parallel Randomized Algorithm for Approximate Association Rules Mining in MapReduce Matteo Riondato, Justin A. DeBrabant, Rodrigo Fonseca, and Eli Upfal Dept. of Computer Science, Brown University Providence, RI Add to Reading List Source URL: matteo.rionda.to Language: English - Date: 2016-07-30 12:22:15 Data mining Parallel computing Distributed computing architecture Association rule learning Data management MapReduce RANSAC Apache Hadoop Algorithm