EAN: 9783319918501

ADVANCED INFORMATION AND KNOWLEDGE PROCESSING ...

The big data tsunami changes the perspective of industrial and academic research in how they
address both foundational questions and practical applications. This calls for a paradigm shift
in algorithms and the underlying mathematical techniques. There is a need to understand
foundational strengths and address the state of the art challenges in big data that could lead
to practical impact. The main goal of this book is to introduce algorithmic techniques for
dealing with big data sets. Traditional algorithms work successfully when the input data fits
well within memory. In many recent application situations  however  the size of the input data
is too large to fit within memory. Models of Computation for Big Data  covers mathematical
models for developing such algorithms  which has its roots in the study of big data that occur
often in various applications. Most techniques discussed come from research in the last decade.
The book will be structured as a sequence of algorithmic ideas  theoretical underpinning  and
practical use of that algorithmic idea. Intended for both graduate students and advanced
undergraduate students  there are no formal prerequisites  but the reader should be familiar
with the fundamentals of algorithm design and analysis  discrete mathematics  probability and
have general mathematical maturity.

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