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KDD
2007
ACM
165views Data Mining» more  KDD 2007»
15 years 10 months ago
Efficient and effective explanation of change in hierarchical summaries
Dimension attributes in data warehouses are typically hierarchical (e.g., geographic locations in sales data, URLs in Web traffic logs). OLAP tools are used to summarize the measu...
Deepak Agarwal, Dhiman Barman, Dimitrios Gunopulos...
ALGORITHMICA
2006
139views more  ALGORITHMICA 2006»
14 years 10 months ago
CONQUEST: A Coarse-Grained Algorithm for Constructing Summaries of Distributed Discrete Datasets
Abstract. In this paper we present a coarse-grained parallel algorithm, CONQUEST, for constructing boundederror summaries of high-dimensional binary attributed data in a distribute...
Jie Chi, Mehmet Koyutürk, Ananth Grama
ICDE
2010
IEEE
260views Database» more  ICDE 2010»
15 years 9 months ago
Anonymizing Weighted Social Network Graphs
The increasing popularity of social networks has initiated a fertile research area in information extraction and data mining. Although such analysis can facilitate better understan...
Sudipto Das, Ömer Egecioglu, Amr El Abbadi
ICDE
1998
IEEE
103views Database» more  ICDE 1998»
15 years 11 months ago
Online Generation of Association Rules
We have a large database consisting of sales transactions. We investigate the problem of online mining of association rules in this large database. We show how to preprocess the d...
Charu C. Aggarwal, Philip S. Yu
SIGIR
2009
ACM
15 years 4 months ago
A bayesian learning approach to promoting diversity in ranking for biomedical information retrieval
In this paper, we propose a Bayesian learning approach to promoting diversity for information retrieval in biomedicine and a re-ranking model to improve retrieval performance in t...
Xiangji Huang, Qinmin Hu