AISIID: An artificial immune system for interesting information discovery on the web

Artificial immune recognition system (AIRS), as an efficient and successful computational intelligence method, has been widely used for classification. However, this method is seldom used for hyperspectral image classification due to its complexity. To address this problem, a class-specific model based on AIRS, named as Single Class Learning Network AIRS (SCLN-AIRS), is proposed in this paper to improve the classification accuracy for hyperspectral images compared with AIRS based method. For SCLN-AIRS, the outliers of training samples from irrelevant classes are ignored first. Then, a novel MC evolution strategy is proposed to prevent memory cells being affected by other ones from different classes. In the novel model, the calculation complexity is guaranteed by the fact that the class is expressed only by few memory cells while classification result is improved. Experimental results on AVIRIS dataset demonstrate the effectiveness of the proposed method for hyperspectral image classification.

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“…(7) and mutation number can be calculated by Eq. (8). The mutation principle is the same as that of mc in a) (clone and mutation of mc …”

Section: A Scln-airs Modelmentioning

confidence: 98%

“…As an bionic method inspired by human immune system, artificial Immune System (AIS), has been widely used in control engineering [6] , pattern recognition [7] , information security [8] , fault diagnosis [9] , etc. AIS exhibits great capability on information processing and data analysis.…”

Section: Introductionmentioning

confidence: 99%

Class-specific artificial immune recognition method for hyperspectral image classification

Meng

Zhang

Weiwei

et al. 2012

2012 IEEE 11th International Conference on Signal Processing

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“…Spam detection was another area where AIS is be applied ( [12], [13]). Other than that, AIS was also used to search for interesting web pages ( [14]) and to classify medical documents ( [15], [16]). …”

Section: B Using Ais To Classify Textmentioning

confidence: 99%

Is artificial immune system suitable for opinion mining?

Samsudin

Puteh

Hamdan

et al. 2012

2012 4th Conference on Data Mining and Optimization (DMO)

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Opinion mining is used to automate the process of identifying opinion whether it is a positive or negative view. Majority of previous works on this field uses natural language programming techniques to identify the sentiment. This paper reports the use of artificial immune system (AIS) technique in identifying Malaysian online movie reviews. This opinion mining process uses three string similarity functions namely Cosine Similarity, Jaccard Coefficient and Sorensen Coefficient. In addition, AIS performance was compared with other traditional machine learning techniques, which are Support Vector Machine, Naïve Baiyes and k-Nearest Network. The result of the findings are analyzed and discussed in this paper.

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“…For that reason, it made the increasing use of effective applications like web mining system as a tool to find relevant information on the Internet by the Internet user. The reason why they chose to use these tools was because these tools have information about the processing techniques which is efficient in filtering and finding relevant information [2]. In this research, we have found a machine learning technique known as Artificial Immune System (AIS) that has the paradigm to evolve and learn.…”

Section: Introductionmentioning

confidence: 99%

An Artificial Immune System for recommending relevant information through political weblog

Nasir

Selamat

2009

Proceedings of the 11th International Conference on Information Integration and Web-Based Applications &Amp; Services

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These days, when we want to get the relevant and useful information on political issues from the web, it is important for the Internet users to understand the current political situations in the country. Most of Internet users are using applications like web mining system in order to help them in finding all relevant information available in the political weblog. Based on this problem, we have developed a web mining system called WMAIS (web mining using Artificial Immune System). The objective of the WMAIS is to recommend the relevant and interesting information on political issues in Malaysia through political weblogs to the users. From the experiment that have been done using statistic tool called Student T-test, it shows that by using the term frequency scheme in WMAIS, it has managed to recommend relevant and interesting information through political weblogs to the user. KeywordsWeb mining system, artificial immune system, and political weblog

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AISIID: An artificial immune system for interesting information discovery on the web

Cited by 17 publications

References 17 publications

Class-specific artificial immune recognition method for hyperspectral image classification

Class-specific artificial immune recognition method for hyperspectral image classification

Is artificial immune system suitable for opinion mining?

An Artificial Immune System for recommending relevant information through political weblog

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