Yinle Zhou

Dr. Yinle Zhou is an IBM software architect and data scientist in the InfoSphere MDM development group in Austin, Texas, and also serves as an Affiliate Member of the Graduate Faculty at University of Arkansas at Little Rock (UALR). Dr. Zhou holds a PhD in Integrated Computing with Emphasis in Information Quality (IQ) from UALR where her doctoral research focused on modeling the management of entity identity information in entity resolution systems. She also holds a Master of Science in Information Quality from UALR, a Bachelor of Business Administration in Electronic Commerce from Nanjing University in China, and the Information Quality Certified Professional (IQCP) credential issued by the International Association for Information and Data Quality (IAIDQ). Her research and publications are in areas of information quality, identity management, entity and identity resolution, and social computing.

Publications

Information Quality and Governance for Business Intelligence
William Yeoh, John R. Talburt, Yinle Zhou. © 2014. 478 pages.
Business intelligence initiatives have been dominating the technology priority list of many organizations. However, the lack of effective information quality and governance...
Principled Reference Data Management for Business Intelligence
Ivan Milman, Martin Oberhofer, Sushain Pandit, Yinle Zhou. © 2014. 17 pages.
Most large enterprises requiring operational business processes (e.g., call center, human resources, order fulfillments, billing, etc.) utilize anywhere from a few hundred to...
Strategies for Large-Scale Entity Resolution Based on Inverted Index Data Partitioning
Yinle Zhou, John R. Talburt. © 2014. 23 pages.
Inverted indexing is a commonly used technique for improving the performance of entity resolution algorithms by reducing the number of pair-wise comparisons necessary to arrive...