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» Issues in Developing Very Large Data Warehouses
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DSS
2002
220views more  DSS 2002»
13 years 7 months ago
Past, present, and future of decision support technology
Since the early 1970s, decision support systems (DSS) technology and applications have evolved significantly. Many technological and organizational developments have exerted an im...
J. P. Shim, Merrill Warkentin, James F. Courtney, ...
ICML
2007
IEEE
14 years 8 months ago
Learning for efficient retrieval of structured data with noisy queries
Increasingly large collections of structured data necessitate the development of efficient, noise-tolerant retrieval tools. In this work, we consider this issue and describe an ap...
Charles Parker, Alan Fern, Prasad Tadepalli
KDD
2002
ACM
1075views Data Mining» more  KDD 2002»
14 years 8 months ago
CLOPE: a fast and effective clustering algorithm for transactional data
This paper studies the problem of categorical data clustering, especially for transactional data characterized by high dimensionality and large volume. Starting from a heuristic m...
Yiling Yang, Xudong Guan, Jinyuan You
KDD
2006
ACM
164views Data Mining» more  KDD 2006»
14 years 8 months ago
Sampling from large graphs
Given a huge real graph, how can we derive a representative sample? There are many known algorithms to compute interesting measures (shortest paths, centrality, betweenness, etc.)...
Jure Leskovec, Christos Faloutsos
DCC
2000
IEEE
14 years 3 days ago
Summary Structures for Frequency Queries on Large Transaction Sets
As large-scale databases become commonplace, there has been signi cant interest in mining them for commercial purposes. One of the basic tasks that underlies many of these mining ...
Dow-Yung Yang, Akshay Johar, Ananth Grama, Wojciec...