Filtering Order Adaptation Based on Attractor Selection for Data Broadcasting System

Shinya Kitajima (), Takahiro Hara (), Tsutomu Terada () and Shojiro Nishio ()
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Shinya Kitajima: Osaka University
Takahiro Hara: Osaka University
Tsutomu Terada: Kobe University
Shojiro Nishio: Osaka University

Chapter Chapter 8 in Complex Intelligent Systems and Their Applications, 2010, pp 163-186 from Springer

Abstract: Summary Recent spread of different data broadcasting services leads to provide enormous and various heterogeneous data. Since data that a client needs are a part of them, there has been an increasing interest in information filtering techniques where a client automatically chooses and stores the necessary data. Generally, when a client performs filtering, it applies some filters sequentially, and the time required for filtering changes according to the order of filters. On the other hand, in recent years, there have been many studies about attractor selection which is an autonomous parameter control technique based on the knowledge from living organisms. In this chapter, in order to reduce the load for filtering, we propose novel methods which adaptively change the order of filters according to the change in broadcast contents. These methods adaptively decide the control parameters for filtering by using attractor selection.

Keywords: Genetic Algorithm; Data Item; Mobile Client; Random Term; Calculation Cycle (search for similar items in EconPapers)
Date: 2010
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DOI: 10.1007/978-1-4419-1636-5_8

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