데이터 마이닝 기법을 실행하고 생성된 분석 결과를 보다 쉽게 해석할 수 있도록 개선하여 일반 사용자도 쉽게 사용할 수 있도록 사용 편의성을 향상 시킬 수 있는 데이터 마이닝 도구를 설계하고 구현하였다.
생명정보학이란 생명체를 이해하기 위한 생명과학 연구에 의해 확보되는 생명정보들을 컴퓨터를 이용하여 수집하고 분석하며 표현하는 일련의 정보처리에 관련된 학문 분야라 할 수 있다. 생명정보학의 대표적인 데이터 중 하나인 유전자 마이크로어레이 데이터의 경우는 유전자의 수가 표본의 수에 비하여 월등히 많은 경우(n
Data mining is the method to find useful information for large amounts of data in database. It is used to find hidden knowledge by massive data, unexpectedly pattern, relation to new rule. We need a data mining tool to explore a lot of information. There are many data mining tools or solutions; E-Mi...
Data mining is the method to find useful information for large amounts of data in database. It is used to find hidden knowledge by massive data, unexpectedly pattern, relation to new rule. We need a data mining tool to explore a lot of information. There are many data mining tools or solutions; E-Miner, Clementine, WEKA, and R. Almost of them are were focused on diversity and general purpose, and they are not useful for laymen. In this paper we design and implement a web-based data mining tool using PHP and WEKA. This system is easy to interpret results and so general users are able to handle. We implement Apriori algorithm, Predictive Apriori algorithm and Tertius algorithm of association rule, K-Means algorithm, EM algorithm and FarthestFirst algorithm of cluster analysis, and J48 algorithm, ADTree algorithm and ID3 of decision tree.
Data mining is the method to find useful information for large amounts of data in database. It is used to find hidden knowledge by massive data, unexpectedly pattern, relation to new rule. We need a data mining tool to explore a lot of information. There are many data mining tools or solutions; E-Miner, Clementine, WEKA, and R. Almost of them are were focused on diversity and general purpose, and they are not useful for laymen. In this paper we design and implement a web-based data mining tool using PHP and WEKA. This system is easy to interpret results and so general users are able to handle. We implement Apriori algorithm, Predictive Apriori algorithm and Tertius algorithm of association rule, K-Means algorithm, EM algorithm and FarthestFirst algorithm of cluster analysis, and J48 algorithm, ADTree algorithm and ID3 of decision tree.
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#데이터마이닝 도구 WEKA 생명정보
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