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» Phenomenal Data Mining: From Data to Phenomena
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KDD
1995
ACM
135views Data Mining» more  KDD 1995»
15 years 10 months ago
Rough Sets Similarity-Based Learning from Databases
Manydata mining algorithms developed recently are based on inductive learning methods. Very few are based on similarity-based learning. However, similarity-based learning accrues ...
Xiaohua Hu, Nick Cercone
EDBT
2006
ACM
143views Database» more  EDBT 2006»
16 years 6 months ago
XG: A Grid-Enabled Query Processing Engine
In [12] we introduce a novel architecture for data processing, based on a functional fusion between a data and a computation layer. In this demo we show how this architecture is le...
Radu Sion, Ramesh Natarajan, Inderpal Narang, Thom...
WWW
2004
ACM
16 years 7 months ago
OntoMiner: bootstrapping ontologies from overlapping domain specific web sites
In this paper, we present automated techniques for bootstrapping and populating specialized domain ontologies by organizing and mining a set of relevant overlapping Web sites prov...
Hasan Davulcu, Srinivas Vadrevu, Saravanakumar Nag...
KDD
2008
ACM
186views Data Mining» more  KDD 2008»
16 years 7 months ago
Scalable and near real-time burst detection from eCommerce queries
In large scale online systems like Search, eCommerce, or social network applications, user queries represent an important dimension of activities that can be used to study the imp...
Nish Parikh, Neel Sundaresan
200
Voted
ISCI
2008
166views more  ISCI 2008»
15 years 6 months ago
Incremental and interactive mining of web traversal patterns
Web mining involves the application of data mining techniques to large amounts of web-related data in order to improve web services. Web traversal pattern mining involves discover...
Yue-Shi Lee, Show-Jane Yen