This paper focuses the attention on big data provenance issues, and provides a comprehensive survey on state-of-theart analysis and emerging research challenges in this scientifi...
NoSQL data stores are popular backends for managing big data that is evolving over time: Due to their schema-flexibility, a new release of the application does not require a full...
Stefanie Scherzinger, Eduardo Cunha de Almeida, Th...
This paper presents a new model to detect and explain customer defection in a grocery retail context. This new model analyzes the evolution of each customer basket content. It the...
Fine-grained device-level predictions of both shiftable and nonshiftable energy demand and supply is vital in order to take advantage of Demand Response (DR) for efficient utiliz...
Modern database systems are very often in the position to store and efficiently process their entire data in main memory. Aside from increased main memory capacities, a further dr...
A traditional relational database can evaluate complex queries but requires users to precisely express their information need. But users often do not know what information is avai...
Manish Singh, Michael J. Cafarella, H. V. Jagadish
Web 2.0 users conveniently consume content through subscribing to content generators such as Twitter users or news agencies. However, given the number of subscriptions and the rat...
Arguably, the most significant obstacle to handle the emerging application’s data deluge is to design a system that addresses the challenges for big data’s volume, velocity a...
As the number of provenance aware organizations increases, particularly in workflow scientific domains, sharing provenance data becomes a necessity. Meanwhile, scientists wish to ...
Noha Nagy Mohy, Hoda M. O. Mokhtar, Mohamed E. El-...
Keyword search over relational databases has gained popularity as it provides a user-friendly way to explore structured data. Current research in keyword search has largely ignore...