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» Theoretical Frameworks for Data Mining
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TEC
2008
104views more  TEC 2008»
14 years 9 months ago
Genetic-Fuzzy Data Mining With Divide-and-Conquer Strategy
Data mining is most commonly used in attempts to induce association rules from transaction data. Most previous studies focused on binary-valued transaction data. Transaction data i...
Tzung-Pei Hong, Chun-Hao Chen, Yeong-Chyi Lee, Yu-...
113
Voted
SIGMOD
2012
ACM
220views Database» more  SIGMOD 2012»
13 years 8 days ago
GUPT: privacy preserving data analysis made easy
It is often highly valuable for organizations to have their data analyzed by external agents. However, any program that computes on potentially sensitive data risks leaking inform...
Prashanth Mohan, Abhradeep Thakurta, Elaine Shi, D...
EURONGI
2006
Springer
15 years 1 months ago
Framework for Resource Allocation in Heterogeneous Wireless Networks Using Game Theory
This is a framework for resource allocation in a heterogeneous system composed of various access networks, for instance Third Generation wireless networks (3G) and WLAN, in the pre...
Mariana Dirani, Tijani Chahed
KDD
2001
ACM
228views Data Mining» more  KDD 2001»
15 years 10 months ago
REVI-MINER, a KDD-environment for deviation detection and analysis of warranty and goodwill cost statements in automotive indust
REVI-MINER is a KDD-environment which supports the detection and analysis of deviations in warranty and goodwill cost statements. The system was developed within the framework of ...
Edgar Hotz, Udo Grimmer, W. Heuser, Gholamreza Nak...
KDD
2007
ACM
231views Data Mining» more  KDD 2007»
15 years 10 months ago
Xproj: a framework for projected structural clustering of xml documents
XML has become a popular method of data representation both on the web and in databases in recent years. One of the reasons for the popularity of XML has been its ability to encod...
Charu C. Aggarwal, Na Ta, Jianyong Wang, Jianhua F...