Genetic Algorithm in Data Capturing and Mining

被引：0
|
作者：
Thanuja, M. K. [1 ]
Mala, C. [1 ]
机构：
[1] Natl Inst Technol, Dept Comp Sci & Engn, Thiruchrapalli, India
来源：
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON SOFT COMPUTING FOR PROBLEM SOLVING (SOCPROS 2011), VOL 1 | 2012年 / 130卷
关键词：
Cosine similarity; Fitness function; Genetic Algorithm; Information Retrieval; domain-specific; INFORMATION-RETRIEVAL;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In the current business scenario, dramatic advances in data capture, processing power, data transmission, and storage capabilities are enabling organizations to integrate their various databases. For each organization a process of centralized data management and an efficient data retrieval method has become essential. Centralization of data is needed to maximize user access for knowledge capturing analysis, business improvement and for future use. Dramatic technological advances are making this vision a reality for many companies. This paper presents a design of a tool for extracting the data from a centralized vault, indexing, retrieving domain-specific data and optimizing the result using genetic algorithm.
引用
收藏
页码：589 / 599
页数：11
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