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VLDB
2000
ACM
229views Database» more  VLDB 2000»
14 years 24 days ago
Local Dimensionality Reduction: A New Approach to Indexing High Dimensional Spaces
Many emerging application domains require database systems to support efficient access over highly multidimensional datasets. The current state-of-the-art technique to indexing hi...
Kaushik Chakrabarti, Sharad Mehrotra
ICDE
2003
IEEE
247views Database» more  ICDE 2003»
14 years 10 months ago
CLUSEQ: Efficient and Effective Sequence Clustering
Analyzing sequence data has become increasingly important recently in the area of biological sequences, text documents, web access logs, etc. In this paper, we investigate the pro...
Jiong Yang, Wei Wang 0010
DEXA
2001
Springer
151views Database» more  DEXA 2001»
14 years 1 months ago
Cache Conscious Clustering C3
The two main techniques of improving I/O performance of Object Oriented Database Management Systems(OODBMS) are clustering and buffer replacement. Clustering is the placement of o...
Zhen He, Alonso Marquez
ICDM
2007
IEEE
139views Data Mining» more  ICDM 2007»
14 years 3 months ago
Data Clustering with a Relational Push-Pull Model
We present a new generative model for relational data in which relations between objects can have either a binding or a separating effect. For example, in a group of students sep...
Adam Anthony, Marie desJardins
KDD
2005
ACM
107views Data Mining» more  KDD 2005»
14 years 2 months ago
Cross-relational clustering with user's guidance
Clustering is an essential data mining task with numerous applications. However, data in most real-life applications are high-dimensional in nature, and the related information of...
Xiaoxin Yin, Jiawei Han, Philip S. Yu