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» Crime Pattern Detection Using Data Mining
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KDD
2002
ACM
186views Data Mining» more  KDD 2002»
15 years 10 months ago
Topic-conditioned novelty detection
Automated detection of the first document reporting each new event in temporally-sequenced streams of documents is an open challenge. In this paper we propose a new approach which...
Yiming Yang, Jian Zhang, Jaime G. Carbonell, Chun ...
JDWM
2006
84views more  JDWM 2006»
14 years 9 months ago
Discovering Surprising Instances of Simpson's Paradox in Hierarchical Multidimensional Data
This paper focuses on the discovery of surprising, unexpected patterns, based on a data mining method that consists of detecting instances of Simpson's paradox. By its very n...
Carem C. Fabris, Alex Alves Freitas
ASUNAM
2011
IEEE
13 years 9 months ago
MultiAspectForensics: Pattern Mining on Large-Scale Heterogeneous Networks with Tensor Analysis
—Modern applications such as web knowledge base, network traffic monitoring and online social networks have made available an unprecedented amount of network data with rich type...
Koji Maruhashi, Fan Guo, Christos Faloutsos
VLDB
1999
ACM
188views Database» more  VLDB 1999»
15 years 1 months ago
SPIRIT: Sequential Pattern Mining with Regular Expression Constraints
Discovering sequential patterns is an important problem in data mining with a host of application domains including medicine, telecommunications, and the World Wide Web. Conventio...
Minos N. Garofalakis, Rajeev Rastogi, Kyuseok Shim
ADMA
2008
Springer
147views Data Mining» more  ADMA 2008»
15 years 4 months ago
Mining Supplemental Frequent Patterns
The process of resource distribution and load balance of a distributed P2P network can be described as the process of mining Supplement Frequent Patterns (SFPs) from query transact...
Yintian Liu, Yingming Liu, Tao Zeng, Kaikuo Xu, Ro...