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ISBN: 978-1-4665-6870-9

9 781466 568709

90000

Information Technology / Database

Just as early analytical competitors in the “small data” era moved out ahead of their

competitors and built a sizable competitive edge, the time is now for rms to seize the big

data opportunity. ... an excellent review of the opportunities involved in this revolution ...

The road to the Big Data Emerald City is paved with many potholes. Reading this book

can help you avoid many of them, and avoid surprise when your trip is still a bit bumpy.

—From the Foreword by Thomas H. Davenport, Distinguished Professor,

Babson College; Fellow, MIT Center for Digital Business; and Co-Founder,

International Institute for Analytics

There is an ongoing data explosion transpiring that will make previous creations, collec-

tions, and storage of data look trivial. Big Data, Mining, and Analytics: Components of

Strategic Decision Making ties together big data, data mining, and analytics to explain

how readers can leverage them to extract valuable insights from their data. Facilitating a

clear understanding of big data, it supplies authoritative insights from expert contributors

into leveraging data resources including big data to improve decision making.

Illustrating basic approaches of business intelligence to the more complex methods of

data and text mining, the book guides readers through the process of extracting valuable

knowledge from the varieties of data currently being generated in the brick-and-mortar

and Internet environments. It considers the broad spectrum of analytics approaches for

decision making, including dashboards, OLAP cubes, data mining, and text mining.

• Includes a foreword by Thomas H. Davenport

• Introduces text mining and the transforming of unstructured data into

useful information

• Examines real-time wireless medical data acquisition for today’s healthcare

and data mining challenges

• Presents contributions of big data experts from academia and industry,

including SAS

• Highlights the most exciting emerging technologies for big data—Hadoop

is just the beginning

Filled with examples that illustrate the value of analytics throughout, the book outlines

a conceptual framework for data modeling that can help you immediately improve

your own analytics and decision-making processes. It also provides in-depth coverage

of analyzing unstructured data with text mining methods to supply you with the well-

rounded understanding required to leverage your information assets into improved

strategic decision making.

6000 Broken Sound Parkway, NW

Suite 300, Boca Raton, FL 33487

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2 Park Square, Milton Park

Abingdon, Oxon OX14 4RN, UK

an informa business

www.crcpress.com

K16400

www.auerbach-publications.com

Big Data, Mining, and Analytics

Components

of Strategic

Decision

Making

Stephan Kudyba

Foreword by Thomas H. Davenport

Big Data,

Mining, and

Analytics

Kudyba

K16400 cvr mech.indd 1 2/7/14 3:09 PM

CRC Press

Taylor & Francis Group

6000 Broken Sound Parkway NW, Suite 300

Boca Raton, FL 33487-2742

CRC Press is an imprint of Taylor & Francis Group, an Informa business

No claim to original U.S. Government works

Version Date: 20140203

International Standard Book Number-13: 978-1-4665-6871-6 (eBook - PDF)

This book contains information obtained from authentic and highly regarded sources. Reasonable efforts

have been made to publish reliable data and information, but the author and publisher cannot assume

responsibility for the validity of all materials or the consequences of their use. The authors and publishers

have attempted to trace the copyright holders of all material reproduced in this publication and apologize to

not been acknowledged please write and let us know so we may rectify in any future reprint.

Except as permitted under U.S. Copyright Law, no part of this book may be reprinted, reproduced, transmit-

ted, or utilized in any form by any electronic, mechanical, or other means, now known or hereafter invented,

including photocopying, microfilming, and recording, or in any information storage or retrieval system,

without written permission from the publishers.

For permission to photocopy or use material electronically from this work, please access www.copyright.

com (http://www.copyright.com/) or contact the Copyright Clearance Center, Inc. (CCC), 222 Rosewood

Drive, Danvers, MA 01923, 978-750-8400. CCC is a not-for-profit organization that provides licenses and

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a separate system of payment has been arranged.

Trademark Notice: Product or corporate names may be trademarks or registered trademarks, and are used

only for identification and explanation without intent to infringe.

Visit the Taylor & Francis Web site at

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内容反馈

smilelee0409

2014-12-06

这本书非常全面。值得阅读。
jjdmn

2015-07-31

本书内容浅显易懂，值得推荐！
babatada

2016-04-25

简单，但只介绍了大数据的基本应用，具体技术介绍较少。

jerrylees2006

粉丝: 2
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