Semantic Association Mining
讲座名称：
Semantic Association Mining
讲座时间：
2014-07-21
讲座人：
Ping Chen
形式：
校区：
兴庆校区
实践学分：
讲座内容：
【摘要】 Discov【讲座题目】 Semantic Association Mining
【讲座嘉宾】 Prof .Ping Chen, University of Massachusetts Boston
【讲座时间】7月21日（星期一）下午15：00-16：30
【讲座地点】 管理学院313教室ery of risk factors affecting human health is very important. To medical researchers, these risk factors will provide valuable
reasoning and modeling mechanism that are fundamentally important to medical and health research. In practice, health-related associations (risk factors) can provide basis for clinical decision making, health policy, and public guidance that directly impact health of individuals, families, communities, and populations. As the capability to capture and store medical data grows rapidly, the need for effective and efficient computation tools that facilitate such discoveries is high and increasing. This project aims to build an efficient medical association discovery system to extract significant, valid, non-redundant, and previously unknown ssociations of attributes (risk factors) from medical datasets. The goal and main innovations of this project are:
Integrating our knowledge-based approach with objective association mining method to generate only non-trivial, non-redundant, valid, and previously unknown associations. These associations will serve as hypotheses and be further validated by biostatistic; methods, which fundamentally changes current subjective formation of hypotheses to objective formation and discover radically different new knowledge;
Building a research-grade medical association discovery system with a full suite of efficient and effective components: User Knowledge Acquisition Component, Semantic Network Building Component, Non-redundant Association Generation Component, Association Categorization Component, and Statistical Validation Component.
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