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» Issues in Developing Very Large Data Warehouses
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INCDM
2010
Springer
159views Data Mining» more  INCDM 2010»
15 years 10 months ago
Semi-supervised Learning for False Alarm Reduction
Abstract. Intrusion Detection Systems (IDSs) which have been deployed in computer networks to detect a wide variety of attacks are suffering how to manage of a large number of tri...
Chien-Yi Chiu, Yuh-Jye Lee, Chien-Chung Chang, Wen...
APVIS
2004
15 years 7 months ago
Adding Filtering to Geometric Distortion to Visualize a Clustered Graph on Small Screens.
Presenting large amounts of information in a limited screen space is a significant challenge in the field of Information Visualization. With the rapid development and growing use ...
Wanchun Li, Masahiro Takatsuka
IEEEVAST
2010
15 years 25 days ago
Understanding text corpora with multiple facets
Text visualization becomes an increasingly more important research topic as the need to understand massive-scale textual information is proven to be imperative for many people and...
Lei Shi, Furu Wei, Shixia Liu, Li Tan, Xiaoxiao Li...
COOPIS
2003
IEEE
15 years 11 months ago
Static Type-Inference for Trust in Distributed Information Systems
Abstract. Decision-makers in critical fields such as medicine and finance make use of a wide range of information available over the Internet. Mediation, a data integration techn...
Premkumar T. Devanbu, Michael Gertz, Brian Toone
IJCAI
1989
15 years 7 months ago
Rapid Retrieval Algorithms for Case-Based Reasoning
One of the major issues confronting case-based reasoning (CBR) is rapid retrieval of similar cases from a large case base. This paper describes three algorithms which address this...
Richard H. Stottler, Andrea L. Henke, James A. Kin...