Sciweavers

10 search results - page 1 / 2
» Mining Multi-Dimensional Constrained Gradients in Data Cubes
Sort
View
VLDB
2001
ACM
109views Database» more  VLDB 2001»
13 years 9 months ago
Mining Multi-Dimensional Constrained Gradients in Data Cubes
Constrained gradient analysis (similar to the “cubegrade” problem posed by Imielinski, et al. [9]) is to extract pairs of similar cell characteristics associated with big chan...
Guozhu Dong, Jiawei Han, Joyce M. W. Lam, Jian Pei...
KDD
1997
ACM
208views Data Mining» more  KDD 1997»
13 years 8 months ago
Metarule-Guided Mining of Multi-Dimensional Association Rules Using Data Cubes
In this paper, we employ a novel approach to metarule-guided, multi-dimensional association rule mining which explores a data cube structure. We propose algorithms for metarule-gu...
Micheline Kamber, Jiawei Han, Jenny Chiang
VLDB
2007
ACM
179views Database» more  VLDB 2007»
14 years 4 months ago
Mining Approximate Top-K Subspace Anomalies in Multi-Dimensional Time-Series Data
Market analysis is a representative data analysis process with many applications. In such an analysis, critical numerical measures, such as profit and sales, fluctuate over time a...
Xiaolei Li, Jiawei Han
ICDE
2005
IEEE
146views Database» more  ICDE 2005»
14 years 5 months ago
Mining Evolving Customer-Product Relationships in Multi-Dimensional Space
Previous work on mining transactional database has focused primarily on mining frequent itemsets, association rules, and sequential patterns. However, interesting relationships be...
Xiaolei Li, Jiawei Han, Xiaoxin Yin, Dong Xin
ICDE
2008
IEEE
194views Database» more  ICDE 2008»
14 years 5 months ago
P-Cube: Answering Preference Queries in Multi-Dimensional Space
Many new applications that involve decision making need online (i.e., OLAP-styled) preference analysis with multidimensional boolean selections. Typical preference queries includes...
Dong Xin, Jiawei Han