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» Relational XES: Data Management for Process Mining
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125
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KDD
2004
ACM
157views Data Mining» more  KDD 2004»
15 years 10 months ago
Fast mining of spatial collocations
Spatial collocation patterns associate the co-existence of nonspatial features in a spatial neighborhood. An example of such a pattern can associate contaminated water reservoirs ...
Xin Zhang, Nikos Mamoulis, David W. Cheung, Yutao ...
ICDM
2006
IEEE
147views Data Mining» more  ICDM 2006»
15 years 10 months ago
Adaptive Parallel Graph Mining for CMP Architectures
Mining graph data is an increasingly popular challenge, which has practical applications in many areas, including molecular substructure discovery, web link analysis, fraud detect...
Gregory Buehrer, Srinivasan Parthasarathy, Yen-Kua...
KDD
2008
ACM
146views Data Mining» more  KDD 2008»
16 years 5 months ago
Spotting out emerging artists using geo-aware analysis of P2P query strings
Record label companies would like to identify potential artists as early as possible in their careers, before other companies approach the artists with competing contracts. The va...
Noam Koenigstein, Yuval Shavitt, Tomer Tankel
146
Voted
CLUSTER
2009
IEEE
15 years 11 months ago
Analyzing massive astrophysical datasets: Can Pig/Hadoop or a relational DBMS help?
Abstract— As the datasets used to fuel modern scientific discovery grow increasingly large, they become increasingly difficult to manage using conventional software. Parallel d...
Sarah Loebman, Dylan Nunley, YongChul Kwon, Bill H...
PKDD
2004
Springer
205views Data Mining» more  PKDD 2004»
15 years 10 months ago
Breaking Through the Syntax Barrier: Searching with Entities and Relations
The next wave in search technology will be driven by the identification, extraction, and exploitation of real-world entities represented in unstructured textual sources. Search sy...
Soumen Chakrabarti