EAN: 9783110550320

MACHINE LEARNING FOR BIG DATA ANALYSIS GEBUNDEN

This volume comprises six well-versed contributed chapters devoted to report the latest fi
ndings on the applications of machine learning for big data analytics. Big data is a term for
data sets that are so large or complex that traditional data processing application software is
inadequate to deal with them. The possible challenges in this direction include capture 
storage  analysis  data curation  search  sharing  transfer  visualization  querying  updating
and information privacy. Big data analytics is the process of examining large and varied data
sets - i.e.  big data - to uncover hidden patterns  unknown correlations  market trends 
customer preferences and other useful information that can help organizations make
more-informed business decisions. This volume is intended to be used as a reference by
undergraduate and post graduate students of the disciplines of computer science  electronics
and telecommunication  information science and electrical engineering. THE SERIES: FRONTIERS IN
COMPUTATIONAL INTELLIGENCE The series Frontiers In Computational Intelligence is envisioned to
provide comprehensive coverage and understanding of cutting edge research in computational
intelligence. It intends to augment the scholarly discourse on all topics relating to the
advances in artifi cial life and machine learning in the form of metaheuristics  approximate
reasoning  and robotics. Latest research fi ndings are coupled with applications to varied
domains of engineering and computer sciences. This field is steadily growing especially with
the advent of novel machine learning algorithms being applied to different domains of
engineering and technology. The series brings together leading researchers that intend to
continue to advance the fi eld and create a broad knowledge about the most recent research.

Aktuelle Preise zur EAN 9783110550320

Produktinformationen zur 9783110550320