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Big Data Analytics Tools and Technology for Effective Planning

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Three central questions concerning Big Data are how to classify Big Data, what are the
best methods for managing Big Data, and how to accurately analyze Big Data. Although
various methods exist to answer these questions, no single or globally accepted methodology
is recognized to perform satisfactorily on all data and can be accepted since Big Data
Analytics tools have to deal with the large variety and large scale of data sets. For example,
some of the use cases of Big Data Analytics tools include real-time intelligence, data discovery,
and business reporting. These all present a different challenge.
This edited volume, titled Big Data Analytics: Tools and Technology for Effective Planning,
deliberates upon these various aspects of Big Data Analytics for effective planning. We
start with Big Data challenges and a reference model, and then dwell into data mining,
algorithms, and storage methods. This is followed by various technical facets of Big Data
analytics and some application areas.
Chapter 1 and 2 discuss Big Data challenges. Chapter 3 presents the Big Data reference
model. Chapter 4 covers Big Data analytic tools.
Chapters 5 to 9 focus on the various advanced Big Data mining technologies and
algorithms.
Big Data storage is an important and very interesting topic for researchers. Hence, we
have included a chapter on Big Data storage technology (Chapter 10).
Chapters 11 to 14 consider the various technical facets of Big Data analytics such as nonlinear
feature extraction, enhanced feature mining, classifier models to predict customer
churn for an e-retailer, and large-scale entity clustering on knowledge graphs for topic
discovery and exploration.
In the Big Data world, driven by the Internet of Things (IoT), a majority of the data is generated
by IoT devices. Chapter 15 and Chapter 16 discuss two application areas: connected
intelligence and traffic analysis, respectively. Finally, Chapter 17 is about the possibilities
and challenges of Big Data analysis in humanities research.
We are confident that the book will be a valuable addition to the growing knowledge
base, and will be impactful and useful in providing information on Big Data analytics
tools and technology for effective planning. As Big Data becomes more intrusive and pervasive,
there will be increasing interest in this domain. It is our hope that this book will
not only showcase the current state of art and practice but also set the agenda for future
directions in the Big Data analytics domain.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

005.7 Som b

Penerbit

London : CRC Press., 2018

Deskripsi Fisik

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Bahasa

ISBN/ISSN

9781315391243

Klasifikasi

NONE

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

big data

Info Detail Spesifik

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Pernyataan Tanggungjawab

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Versi lain/terkait

Lampiran Berkas

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