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KDD
2009
ACM
167views Data Mining» more  KDD 2009»
15 years 4 months ago
Anomalous window discovery through scan statistics for linear intersecting paths (SSLIP)
Anomalous windows are the contiguous groupings of data points. In this paper, we propose an approach for discovering anomalous windows using Scan Statistics for Linear Intersectin...
Lei Shi, Vandana Pursnani Janeja
KDD
2007
ACM
168views Data Mining» more  KDD 2007»
15 years 10 months ago
A probabilistic framework for relational clustering
Relational clustering has attracted more and more attention due to its phenomenal impact in various important applications which involve multi-type interrelated data objects, such...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu
KDD
2005
ACM
125views Data Mining» more  KDD 2005»
15 years 3 months ago
Price prediction and insurance for online auctions
Online auctions are generating a new class of fine-grained data about online transactions. This data lends itself to a variety of applications and services that can be provided to...
Rayid Ghani
KDD
2008
ACM
172views Data Mining» more  KDD 2008»
15 years 10 months ago
Structured metric learning for high dimensional problems
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
Jason V. Davis, Inderjit S. Dhillon
KDD
2007
ACM
201views Data Mining» more  KDD 2007»
15 years 10 months ago
Structural and temporal analysis of the blogosphere through community factorization
The blogosphere has unique structural and temporal properties since blogs are typically used as communication media among human individuals. In this paper, we propose a novel tech...
Yun Chi, Shenghuo Zhu, Xiaodan Song, Jun'ichi Tate...