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- research-articleNovember 2017
Interactive Analytics System for Exploring Outliers
CIKM '17: Proceedings of the 2017 ACM on Conference on Information and Knowledge ManagementNovember 2017, Pages 2547–2550https://doi.org/10.1145/3132847.3133189ONION is the first system with rich interactive support for efficiently analyzing outliers. ONION features an innovative exploration model that offers an "outlier-centric panorama'' into big datasets. The ONION system is composed of an offline ...
- short-paperNovember 2017
Learning Biological Sequence Types Using the Literature
CIKM '17: Proceedings of the 2017 ACM on Conference on Information and Knowledge ManagementNovember 2017, Pages 1991–1994https://doi.org/10.1145/3132847.3133051We explore in this paper automatic biological sequence type classification for records in biological sequence databases. The sequence type attribute provides important information about the nature of a sequence represented in a record, and is often used ...
- research-articleNovember 2017
Active Learning for Large-Scale Entity Resolution
CIKM '17: Proceedings of the 2017 ACM on Conference on Information and Knowledge ManagementNovember 2017, Pages 1379–1388https://doi.org/10.1145/3132847.3132949Entity resolution (ER) is the task of identifying different representations of the same real-world object across datasets. Designing and tuning ER algorithms is an error-prone, labor-intensive process, which can significantly benefit from data-driven, ...
- research-articleNovember 2017
Name Disambiguation in Anonymized Graphs using Network Embedding
CIKM '17: Proceedings of the 2017 ACM on Conference on Information and Knowledge ManagementNovember 2017, Pages 1239–1248https://doi.org/10.1145/3132847.3132873In real-world, our DNA is unique but many people share names. This phenomenon often causes erroneous aggregation of documents of multiple persons who are namesake of one another. Such mistakes deteriorate the performance of document retrieval, web ...