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KDD
2003
ACM
156views Data Mining» more  KDD 2003»
9 years 8 months ago
Fast vertical mining using diffsets
A number of vertical mining algorithms have been proposed recently for association mining, which have shown to be very effective and usually outperform horizontal approaches. The ...
Mohammed Javeed Zaki, Karam Gouda
KDD
2003
ACM
116views Data Mining» more  KDD 2003»
9 years 8 months ago
XRules: an effective structural classifier for XML data
XML documents have recently become ubiquitous because of their varied applicability in a number of applications. Classification is an important problem in the data mining domain, ...
Mohammed Javeed Zaki, Charu C. Aggarwal
KDD
2003
ACM
180views Data Mining» more  KDD 2003»
9 years 8 months ago
Classifying large data sets using SVMs with hierarchical clusters
Support vector machines (SVMs) have been promising methods for classification and regression analysis because of their solid mathematical foundations which convey several salient ...
Hwanjo Yu, Jiong Yang, Jiawei Han
KDD
2003
ACM
135views Data Mining» more  KDD 2003»
9 years 8 months ago
Efficiently handling feature redundancy in high-dimensional data
High-dimensional data poses a severe challenge for data mining. Feature selection is a frequently used technique in preprocessing high-dimensional data for successful data mining....
Lei Yu, Huan Liu
KDD
2003
ACM
161views Data Mining» more  KDD 2003»
9 years 8 months ago
Eliminating noisy information in Web pages for data mining
A commercial Web page typically contains many information blocks. Apart from the main content blocks, it usually has such blocks as navigation panels, copyright and privacy notice...
Lan Yi, Bing Liu, Xiaoli Li
KDD
2003
ACM
192views Data Mining» more  KDD 2003»
9 years 8 months ago
Efficient elastic burst detection in data streams
Burst detection is the activity of finding abnormal aggregates in data streams. Such aggregates are based on sliding windows over data streams. In some applications, we want to mo...
Yunyue Zhu, Dennis Shasha
KDD
2003
ACM
266views Data Mining» more  KDD 2003»
9 years 8 months ago
Applying data mining in investigating money laundering crimes
In this paper, we study the problem of applying data mining to facilitate the investigation of money laundering crimes (MLCs). We have identified a new paradigm of problems --- th...
Zhongfei (Mark) Zhang, John J. Salerno, Philip S. ...
KDD
2003
ACM
112views Data Mining» more  KDD 2003»
9 years 8 months ago
Screening and interpreting multi-item associations based on log-linear modeling
Association rules have received a lot of attention in the data
Daniel Barbará, Xintao Wu, Yong Ye
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