Comparative Study of Sequential Pattern Mining Frameworks Support Framework vs. Multiple Alignment Framework Hye-Chung (Monica) Kum Susan Paulsen Wei Wang Computer Science, Univ. of North Carolina at Chapel Hill (kum, pa

Source URL: web.cs.ucla.edu

Temporal Support in Sequential Pattern Mining Leticia I. G´ omez1 and Bart Kuijpers2 and Alejandro A. Vaisman3 1 2

Source URL: ceur-ws.org

Temporal Support of Regular Expressions in Sequential Pattern Mining Leticia I. G´omez1 , Bart Kuijpers2 , and Alejandro Vaisman2 1 Instituto Tecn´

Source URL: drops.dagstuhl.de

Margin-Closed Sequential Pattern Mining Dmitriy Fradkin, Fabian Moerchen Siemens Corporate Research Princeton, NJ

Source URL: www.usefulpatterns.org

Zips: Mining Compressing Sequential Patterns in Streams Hoang Thanh Lam, Toon Calders, Jie Yang Fabian Moerchen and Dmitriy Fradkin Agenda

Source URL: poloclub.gatech.edu

• Design
• Academia
• Architectural theory
• Pattern
• Architectural pattern
• Metaphysics
• Philosophy

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

Source URL: www.ke.tu-darmstadt.de

• 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

Useful Patterns (UP’10) ACM SIGKDD Workshop Report Jilles Vreeken Nikolaj Tatti

Source URL: eda.mmci.uni-saarland.de

• Data mining
• Information science
• Information technology management
• Information technology
• Sequential pattern mining
• Association rule learning
• Pattern
• Architectural pattern
• K-optimal pattern discovery
• Web mining

Randomly Sampling Maximal Itemsets Sandy Moens and Bart Goethals Frequent Itemset Mining •  Finding interesting patterns by e.g. support

Source URL: poloclub.gatech.edu

• Data mining
• Sampling
• Survey methodology
• Redundancy
• Sequential pattern mining
• Association rule learning

Patterns and Sequences: Interactive Exploration of Clickstreams to Understand Common Visitor Paths Zhicheng Liu, Yang Wang, Mira Dontcheva, Matthew Hoffman, Seth Walker and Alan Wilson Fig. 1: Interface design for intera

Source URL: www.zcliu.org

• Bioinformatics
• Data mining
• Sequential pattern mining
• Clickstream
• Pattern
• Sequence analysis
• Sequence
• Text mining
• Protein domain