Domain Driven Data Mining - Cao, Longbing
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Présentation Domain Driven Data Mining de Cao, Longbing Format Broché
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Résumé :
Challenges and Trends.- Methodology.- Ubiquitous Intelligence.- Knowledge Actionability.- AKD Frameworks.- Combined Mining.- Agent-Driven Data Mining.- Post Mining.- Mining Actionable Knowledge on Capital Market Data.- Mining Actionable Knowledge on Social Security Data.- Open Issues and Prospects.- Reading Materials....
Biographie:
Prof Longbing Cao is the Distinguished Chair in Artificial Intelligence (AI) and an Australian Research Council Future Fellow (professor) at the School of Computing, Macquarie University, Australia. Before joining Macquarie, he was the Founding Director of the Advanced Analytics Institute at the University of Technology Sydney and was a chief technology officer. Prof Cao is an internationally active research leader in AI, data science, and machine learning in both research and practice. He chaired many ACM and IEEE chapters and task forces and served as general chairs, program chairs, and steering committee chairs of prestigious international conferences. He has served as editors-in-chief and on editorial boards of core AI and data science journals. His significant research leadership and socioeconomic benefits have been recognized by an individual Australia's Eureka Prize and elected as an ACM Distinguished Scientist by ACM....
Sommaire:
Challenges and Trends.- Methodology.- Ubiquitous Intelligence.- Knowledge Actionability.- AKD Frameworks.- Combined Mining.- Agent-Driven Data Mining.- Post Mining.- Mining Actionable Knowledge on Capital Market Data.- Mining Actionable Knowledge on Social Security Data.- Open Issues and Prospects.- Reading Materials.
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