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» An Associative Memory for Association Rule Mining
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SIGSOFT
2007
ACM
14 years 8 months ago
Mining API patterns as partial orders from source code: from usage scenarios to specifications
A software system interacts with third-party libraries through various APIs. Using these library APIs often needs to follow certain usage patterns. Furthermore, ordering rules (sp...
Mithun Acharya, Tao Xie, Jian Pei, Jun Xu
ADAPTIVE
2007
Springer
14 years 1 months ago
Data Mining for Web Personalization
Abstract. In this chapter we present an overview of Web personalization process viewed as an application of data mining requiring support for all the phases of a typical data minin...
Bamshad Mobasher
HICSS
2006
IEEE
138views Biometrics» more  HICSS 2006»
14 years 1 months ago
An Efficient Algorithm for Real-Time Frequent Pattern Mining for Real-Time Business Intelligence Analytics
Finding frequent patterns from databases has been the most time consuming process in data mining tasks, like association rule mining. Frequent pattern mining in real-time is of in...
Rajanish Dass, Ambuj Mahanti
ICDM
2005
IEEE
129views Data Mining» more  ICDM 2005»
14 years 1 months ago
Mining Chains of Relations
Traditional data mining applications consider the problem of mining a single relation between two attributes. For example, in a scientific bibliography database, authors are rela...
Foto N. Afrati, Gautam Das, Aristides Gionis, Heik...
SBACPAD
2003
IEEE
180views Hardware» more  SBACPAD 2003»
14 years 26 days ago
New Parallel Algorithms for Frequent Itemset Mining in Very Large Databases
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
Adriano Veloso, Wagner Meira Jr., Srinivasan Parth...