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KDD
2008
ACM
217views Data Mining» more  KDD 2008»
14 years 10 months ago
Stream prediction using a generative model based on frequent episodes in event sequences
This paper presents a new algorithm for sequence prediction over long categorical event streams. The input to the algorithm is a set of target event types whose occurrences we wis...
Srivatsan Laxman, Vikram Tankasali, Ryen W. White
KDD
2004
ACM
164views Data Mining» more  KDD 2004»
14 years 10 months ago
Discovering complex matchings across web query interfaces: a correlation mining approach
To enable information integration, schema matching is a critical step for discovering semantic correspondences of attributes across heterogeneous sources. While complex matchings ...
Bin He, Kevin Chen-Chuan Chang, Jiawei Han
KDD
2002
ACM
182views Data Mining» more  KDD 2002»
14 years 10 months ago
ANF: a fast and scalable tool for data mining in massive graphs
Graphs are an increasingly important data source, with such important graphs as the Internet and the Web. Other familiar graphs include CAD circuits, phone records, gene sequences...
Christopher R. Palmer, Phillip B. Gibbons, Christo...
KDD
2002
ACM
152views Data Mining» more  KDD 2002»
14 years 10 months ago
Multimedia Data Mining Framework For Raw Video Sequences
In this paper, we propose a general framework for real time video data mining to be applied to the raw videos (traffic videos, surveillance videos, etc.). We investigate whether t...
Jung-Hwan Oh, Babitha Bandi
KDD
2002
ACM
196views Data Mining» more  KDD 2002»
14 years 10 months ago
Comparing Two Recommender Algorithms with the Help of Recommendations by Peers
Abstract. Since more and more Web sites, especially sites of retailers, offer automatic recommendation services using Web usage mining, evaluation of recommender algorithms has bec...
Andreas Geyer-Schulz, Michael Hahsler