In traditional OLAP systems, roll-up and drill-down operations over data cubes exploit fixed
hierarchies defined on discrete attributes, which play the roles of dimensions, and operate …

The problem of simultaneously predicting multiple real-valued outputs using a shared set of
input variables is known as multi-target regression and has attracted considerable interest in …

Real-time auction has become an important online advertising trading mechanism. A crucial
issue for advertisers is to model the market competition, ie, bid landscape forecasting. It is …

Network data describe entities represented by nodes, which may be connected with (related
to) each other by edges. Many network datasets are characterized by a form of …

ABSTRACT Kroumiria Mountains (northwestern Tunisia) have experienced major fires,
making them the main loss reason of Tunisian forested areas. The ability of accurately …

Smart grids are networks that distribute electricity by relying on advanced communication
technologies, sensor measurements, and predictive methods, to quickly adapt the network …

Considering Autocorrelation in Predictive Models 1 Introduction 2 Methods and evaluation
Page 1 Informatica 37 (2013) 107–108 107 Considering Autocorrelation in Predictive …

There is a tremendous amount of content and information on the web, which can be
searched for using specific information or patterns. Similarly, for Enterprise Recourse …

The emergency department (ED) setting within the healthcare system is quite complex, and
it is necessity to perform mathematical modelling to examine the challenge of long waiting …

Smart grids are networks that distribute electricity by relying on advanced communication
technologies, sensor measurements, and predictive methods, to quickly adapt the network …