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ICDM
2007
IEEE
248views Data Mining» more  ICDM 2007»
15 years 7 months ago
Adapting SVM Classifiers to Data with Shifted Distributions
Many data mining applications can benefit from adapting existing classifiers to new data with shifted distributions. In this paper, we present Adaptive Support Vector Machine (Ada...
Jun Yang 0003, Rong Yan, Alexander G. Hauptmann
119
Voted
ICDM
2007
IEEE
166views Data Mining» more  ICDM 2007»
15 years 10 months ago
A Divisive Hierarchical Structural Clustering Algorithm for Networks
Many systems in sciences, engineering and nature can be modeled as networks. Examples are internet, metabolic networks and social networks. Network clustering algorithms aimed to ...
Nurcan Yuruk, Mutlu Mete, Xiaowei Xu, Thomas A. J....
132
Voted
DKE
2007
115views more  DKE 2007»
15 years 3 months ago
An improved methodology on information distillation by mining program source code
This paper presents a methodology for knowledge acquisition from source code. We use data mining to support semiautomated software maintenance and comprehension and provide practi...
Yiannis Kanellopoulos, Christos Makris, Christos T...

Book
688views
17 years 2 months ago
Database Management Systems
A set of presentations covering the book, which includes the following topics ER Model and Conceptual Design, The Relational Model and SQL DDL, Relational Algebra, SQL, Database Ap...
Raghu Ramakrishnan, Johannes Gehrke
ICDE
2008
IEEE
137views Database» more  ICDE 2008»
16 years 5 months ago
Stop Chasing Trends: Discovering High Order Models in Evolving Data
Abstract-- Many applications are driven by evolving data -patterns in web traffic, program execution traces, network event logs, etc., are often non-stationary. Building prediction...
Shixi Chen, Haixun Wang, Shuigeng Zhou, Philip S. ...