Due to the increase of GPS enabled devices and a lot of locationbased services, spatial objects are continuously generated. This paper addresses a problem of monitoring MaxRS (Max...
The dynamic nature of the data on the Web gives rise to a multitude of problems related to the description and analysis of the evolution of such data. Traditional approaches for i...
Keyword-search engines (e.g. Web-search) usually can be outperformed by a specialized system optimized for a specific domain, type of data, or queries [8, 2, 12, 5, 11, 9]. For e...
In this work, we address the problem of contextual recommendations by exploiting the concept of fault-tolerant subspace clustering. Specifically, we pre-partition users that have...
Assume that a database stores a set of intervals, each of which defines start and end points, a weight and a type. Typed intervals enrich the data representation and support appl...
Over the last few years we witness an explosion on the development of data management solutions for big data applications. To this direction NoSQL databases provide new opportunit...
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...