Search Results for "-1구글-블랙키워드홍보대행圕(-@hhu9999 )구글-찌라시광고업체ꏾ구글업소광고ꕁSEO찌라시1페이지전문홍보팀ꘈ웹문서-블랙키워드광고프로그램.-.otp"

Uncovering the plot: detecting surprising coalitions of entities in multi-relational schemas

Misinformation Propagation in the Age of Twitter

Flu Gone Viral: Syndromic Surveillance of Flu on Twitter Using Temporal Topic Models

Prithwish Chakraborty

Prithwish Chakraborty was a DAC Ph.D. student in the Department of Computer Science and his advisor was Naren Ramakrishnan, director of DAC. His primary research interest is in the field of temporal data mining. Primarily, he is interested in analyzing mixed and complex temporal sequences and finding generative models. More specifically, he is focused on […]

Jessica Zeitz Self

Jessica Zeitz Self was a DAC Ph.D. student in the department of computer science. She worked at the InfoVis Lab, her advisor was Chris North, associate director of DAC. Her research focuses on how to beneficially visualize lots of information and how to display it so that is can be more efficiently analyzed. The goal is […]

Maoyuan Sun

Maoyuan Sun was a DAC Ph.D. student in the department of computer science. He worked at the InfoVis Lab, his advisor was Chris North, associate director of DAC. From a broad view, his research includes visual analytics, information visualization, and human computer interaction. Specifically, he designs, builds and evaluates novel visual analytics prototypes using biclusters […]

Michelle Dowling

Michelle Dowling was a DAC Ph.D. student in the department of computer science. She worked at the InfoVis Lab and her advisor was Chris North, associate director of DAC. Her research focuses on how to allow users to either explicitly or implicitly gather knowledge about a set of data (contained in text-based documents, images, spreadsheets, or […]

Hao Wu

Hao Wu was a DAC Ph.D. student in the Department of Computer Science.  His advisor was Naren Ramakrishnan.

Feng Chen

Feng Chen is currently an assistant professor in the Department of Computer Science at the State University of New York (SUNY) at Albany.

Sheng Guo

Sheng is currently working as a Sr.Software Engineer at LinkedIn. His PhD thesis was titled “Using Dependency Parses to Augment Feature Construction for Text Mining”.