<--- Back to Details
First PageDocument Content
Cybernetics / Applied mathematics / Mathematical optimization / Cognitive science / Data mining / Information science / Bioinformatics / Machine learning / Genetic algorithm / Association rule learning / Gene prediction
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

Mining Predictive Patterns in Sequences of Events

Add to Reading List

Source URL: www.aaai.org

Download Document from Source Website

File Size: 20,00 KB

Share Document on Facebook

Similar Documents

Markov models / Machine learning / Probability / Statistics / Bioinformatics / Computational linguistics / Hidden Markov model / Markov chain / BaumWelch algorithm / Speech recognition / Expectationmaximization algorithm / Association rule learning

Interactive HMM construction based on interesting sequences Szymon Jaroszewicz National Institute of Telecommunications Warsaw, Poland

DocID: 1rqpx - View Document

Formal sciences / Academia / Information technology / Computing / Data mining / Business intelligence / Usability / Data management / Evaluation / Data analysis / Association rule learning / Pattern recognition

Creedo—Scalable and Repeatable Extrinsic Evaluation for Pattern Discovery Systems by Online User Studies Mario Boley, Maike Krause-Traudes, Bo Kang and Björn Jacobs University of Bonn and Fraunhofer IAIS Schloss Birli

DocID: 1rk1X - View Document

Statistics / Machine learning / Summary statistics / Pattern language / Theoretical computer science / Random sample consensus / Mode / Association rule learning / Apriori algorithm

Fast estimation of the pattern frequency spectrum Matthijs van Leeuwen1 and Antti Ukkonen2 1 2

DocID: 1rjts - View Document

Data mining / Association rule learning / Data management / Information science / Information technology management / Information / Formal sciences / Machine learning / Statistical classification / Confidence interval / Sequential pattern mining / Apriori algorithm

A Comparison of Techniques for Selecting and Combining Class Association Rules Jan-Nikolas Sulzmann and Johannes F¨ urnkranz Department of Computer Science, TU Darmstadt Hochschulstr. 10, DDarmstadt, Germany

DocID: 1re1r - View Document

Statistics / Data / Information / Data mining / Bioinformatics / Association rule learning / Data management / Data analysis / Statistical inference / Data set / Resampling / Biclustering

Assessing Data Mining Results via Swap Randomization ARISTIDES GIONIS Yahoo! Research HEIKKI MANNILA University of Helsinki and Helsinki University of Technology

DocID: 1r87j - View Document