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CAREER: New Clustering Algorithms Based on Robust Estimation and Genetic Niches with Applications to Web Usage Mining

CAREER: New Clustering Algorithms Based on Robust Estimation and Genetic Niches with Applications to Web Usage Mining
职业:基于鲁棒估计和遗传利基的新聚类算法及其在网络使用挖掘中的应用
批准号:
0133948
负责人:
Olfa Nasraoui
金额:
$30.01万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2002
资助国家:
美国
项目状态:
已结题
起止时间:
2002-03-15 至 2005-07-31

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中文摘要
翻译
该研究项目将开发一种基于遗传小生境的健壮的无监督聚类技术。它包括开发统计估计器并在Baldwin学习方案中使用该估计器。它还将开发一种不断发展的网络个性化系统以及对网络使用数据进行预处理的技术。职业发展计划将包括对研究生进行网络挖掘培训,并将结果纳入本科课程。
英文摘要
This research project will develop a robust unsupervised clustering technique based on Genetic Niching. It includes the development of a statistical estimator and to use this estimator in a Baldwin learning scheme. It will also develop an evolutionary web personalization system as well as techniques for preprocessing web usage data. The career development plan will include training graduate students in web mining as well as integrating the results into the undergraduate curriculum.
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会议论文
ADVANCE Adaptation: Advancement through Healthy Empowerment, Networking and Awareness (ATHENA) at University of Louisville
RET Site: Research Experiences for Teachers in Big Data and Data Science
INSPIRE: Not Unbiased: The Implications of Human-Algorithm Interaction on Training Data and Algorithm Performance
DC: Small: Stream Clustering Algorithms in Mixed Domains with Soft Two-way Semi-Supervision
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