Large, dynamic, and ad-hoc organizations must frequently initiate data integration and sharing efforts with insufficient awareness of how organizational data sources are related. ...
Ken Smith, Craig Bonaceto, Chris Wolf, Beth Yost, ...
Empowering users to access databases using simple keywords can relieve the users from the steep learning curve of mastering a structured query language and understanding complex a...
There is significant experimental evidence that prediction markets are efficient mechanisms for aggregating information and are more accurate in forecasting events than tradition...
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...
d Abstract) Vijay Saraswat1 and Radha Jagadeesan2 1 IBM T.J. Watson Research Lab 2 School of CTI, DePaul University Abstract. We present the concurrency and distribution primitives...