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Chapter and Conference Paper
An Efficient Spatial Search Method Based on SG-Tree
To solve the overlap** search of multidimensional spatial database containing large quantity of objects with dynamic spatial extent, this paper proposes an index structure named Space Grid Tree (SG-Tree) bas...
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Chapter and Conference Paper
Mining h-Dimensional Enhanced Semantic Association Rule Based on Immune-Based Gene Expression Programming
Rule mining is very important for data mining. However, traditional association rule is relatively weak in semantic representation. To address it, the main contributions of this paper included: (1) proposing f...
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Chapter and Conference Paper
Dynamic Data Distribution of High Level Architecture Based on Publication and Subscription Tree
To ensure the efficiency of data exchange between simulation members via multicast groups in the simulation system based on High Level Architecture (HLA), this paper proposes a novel method of dynamic data dis...
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Chapter and Conference Paper
An Efficient Algorithm for Distributed Incremental Updating of Frequent Item-Sets on Massive Database
Incremental updating of frequent item-sets on a database includes three problems. In this paper, these problems are explored when database stores massive data. The main contributions include: (a) introduces th...
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Chapter and Conference Paper
Supporting Practices in Web-Based Learning
Student practices are an important aspect in schooling. This article explores a possible solution of this issue for Web students in the field of computer science. Taking a DBMS implementation course as an exam...
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Chapter and Conference Paper
Mining Predicate Association Rule by Gene Expression Programming
Gene expression programming (GEP) is a new technique in genetic computing introduced in 2001. Association rule mining is a typical task in data mining. In this article, a new concept called Predicate Associati...
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Chapter and Conference Paper
Classify Web Document by Key Phrase Understanding
In order to evaluate the security rank of document owner (sender or Web station), the documents discrimination is widely adopted to classify Web documents. The old strategy based on keywords matching often lea...
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Chapter and Conference Paper
Discovering Tendency Association between Objects with Relaxed Periodicity and Its Application in Seismology
Relaxed periodicity is proposed to describe loose-‘cyclic behavior of objects while allowing uneven stretch or shrink on time axis, limited noises, and inflation/deflation of attribute values. The techniques t...