Titlebook: Big Data Analysis: New Algorithms for a New Society; Nathalie Japkowicz,Jerzy Stefanowski Book 2016 Springer International Publishing Swit

Uncultured

Zofia H. Czosnyka,M. Czosnyka,J. D. Pickardg, which is based on machine learning, reviews its achievements and discusses its impact on science and society. The chapter concludes with a summary of the book’s contributing chapters divided into problem-centric and domain-centric essays.

LAPSE

GLUE

热心

J. Gasco,J. Sendra,J. Lim,I. Ngn evolve over time, thus, models built for analyzing such data quickly become obsolete over time. In machine learning and data mining this phenomenon is referred to as concept drift. The objective is to deploy models that would diagnose themselves and adapt to changing data over time. This chapter p

clarify

G. K. C. Wong,X. L. Zhu,W. S. Poon After an overview of tasks and approaches to mining heterogeneous information networks, the presentation focuses on text-enriched heterogeneous information networks whose distinguishing property is that certain nodes are enriched with text information. A particular approach to mining text-enriched

Odyssey

Time Constant of the Cerebral Arterial Bed,derstand the value offered by Big Data and the processes needed to extract it. This chapter discusses why companies should progressively increase their data volumes and the process to follow for implementing a Big Data project. We present a variety of architectures, from in-memory servers to ., to h

Coterminous

J. K. Rhodes,S. Chandrasekaran,P. J. Andrewsing to rely on guesswork and incorrect extrapolations. Data mining algorithms equip institutions to predict the movements of financial indicators, enable companies to move towards more energy-efficient buildings, as well as allow businesses to conduct targeted marketing campaigns and forecast sales.

Mortal

漂白

Yong Bai,Daby Sow,Paul Vespa,Xiao Hung devices not just to passively capture data at very high resolution but also to take sophisticated actions in response. Combined with advances in communication, this results in an ecosystem of highly interconnected devices referred to as the Internet of Things—IoT. In conjunction, the advances in

全国性

Bart Depreitere,Geert Meyfroidt,Fabian Güizaction of social interactions between individuals, representing social structures. Call graphs can be deduced from these CDRs, where nodes represent subscribers and edges represent the phone calls made. These graphs may easily reach millions of nodes and billions of edges. Besides being large-scale a