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Steven Simske - Meta-Analytics: Consensus Approaches and System Patterns for Data Analysis

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Meta-Analytics: Consensus Approaches and System Patterns for Data Analysis presents an exhaustive set of patterns for data science to use on any machine learning based data analysis task. The book virtually ensures that at least one pattern will lead to better overall system behavior than the use of traditional analytics approaches. The book is meta to analytics, covering general analytics in sufficient detail for readers to engage with, and understand, hybrid or meta- approaches. The book has relevance to machine translation, robotics, biological and social sciences, medical and healthcare informatics, economics, business and finance.

Inn addition, the analytics within can be applied to predictive algorithms for everyone from police departments to sports analysts.

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Table of Contents List of tables Tables in Chapter 1 Tables in Chapter 2 - photo 1
Table of Contents
List of tables
  1. Tables in Chapter 1
  2. Tables in Chapter 2
  3. Tables in Chapter 3
  4. Tables in Chapter 4
  5. Tables in Chapter 5
  6. Tables in Chapter 6
  7. Table in Chapter 8
  8. Tables in Chapter 9
  9. Tables in Chapter 10
  10. Tables in Chapter 11
  11. Table in Chapter 12
  12. Tables in Chapter 13
List of figures
  1. Figures in Chapter 1
  2. Figures in Chapter 2
  3. Figures in Chapter 3
  4. Figures in Chapter 4
  5. Figures in Chapter 10
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Meta-Analytics
Consensus Approaches and System Patterns for Data Analysis

First Edition

Steven Simske

Copyright Morgan Kaufmann is an imprint of Elsevier 50 Hampshire Street 5th - photo 2

Copyright

Morgan Kaufmann is an imprint of Elsevier

50 Hampshire Street, 5th Floor, Cambridge, MA 02139, United States

2019 Steven Simske. Published by Elsevier Inc. All rights reserved.

No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or any information storage and retrieval system, without permission in writing from the publisher. Details on how to seek permission, further information about the Publishers permissions policies and our arrangements with organizations such as the Copyright Clearance Center and the Copyright Licensing Agency, can be found at our website: www.elsevier.com/permissions.

This book and the individual contributions contained in it are protected under copyright by the Publisher (other than as may be noted herein).

Notices

Knowledge and best practice in this field are constantly changing. As new research and experience broaden our understanding, changes in research methods, professional practices, or medical treatment may become necessary.

Practitioners and researchers must always rely on their own experience and knowledge in evaluating and using any information, methods, compounds, or experiments described herein. In using such information or methods they should be mindful of their own safety and the safety of others, including parties for whom they have a professional responsibility.

To the fullest extent of the law, neither the Publisher nor the authors, contributors, or editors, assume any liability for any injury and/or damage to persons or property as a matter of products liability, negligence or otherwise, or from any use or operation of any methods, products, instructions, or ideas contained in the material herein.

Library of Congress Cataloging-in-Publication Data

A catalog record for this book is available from the Library of Congress

British Library Cataloguing-in-Publication Data

A catalogue record for this book is available from the British Library

ISBN: 978-0-12-814623-1

For information on all Morgan Kaufmann publications visit our website at https://www.elsevier.com/books-and-journals

Publisher Jonathan Simpson Acquisition Editor Glyn Jones Editorial Project - photo 3

Publisher: Jonathan Simpson

Acquisition Editor: Glyn Jones

Editorial Project Manager: Aleksandra Packowska

Production Project Manager: Punithavathy Govindaradjane

Cover Designer: Matthew Limbert

Typeset by SPi Global, India

Dedication

This book is dedicated to Tess, my partner for 30 years and my best friend in life.

Acknowledgments

Steve Simske, Fort Collins, CO

No man is an island, and a book is definitely a human archipelago. I owe so much to so many for this book being completed and hopefully of high relevance to the reader. I am especially happy with the advancements in clustering and classification that show in here, along with a wide variety of analytic approaches based on great work in disparate fields of science. If I have seen anything well here, to paraphrase the late, great Newton, it is because I am understanding on the shoulders of giants.

Thanks to the team at Elsevier for their prodding, probing, professionalism, and promptness. In particular, Id like to thank Brian Guerin, Glyn Jones, Sabrina Webber, Peter Llewellyn, and Aleksandra Packowska for their important roles in seeing this book through its more than 2-year incubation and birth.

Thanks to many, many encouraging colleagues and friendsfrom universities, from HP Inc., and from so many groups and activities here in Fort Collins. Hundreds of people whove made my life better during the writing of this book may not all be named here, but rest assured that you are appreciated! Without having had the chance to participate in so many different activities and professions over the years, I would never have been able to see the connections between them.

Thanks to all the great folks at Colorado State University, which I made my professional home at the beginning of the writing phase of this book. In particular, thanks to the systems engineering staff and faculty (featuring Jim Adams, Ann Batchelor, Mike Borky, Ingrid Bridge, Jim Cale, Mary Gomez, Greg Bo Marzolf, Erika Miller, Ron Sega, and Tom Bradley) for providing me with a home and classroom suitable for elaboration of key parts of the book, not to mention their support and friendship, which seem the rule at CSU.

Special thanks indeed to my Irish trio of great friends: Paul Ellingstad, Mick Keyes, and Gary Moloney. Their wisdom, friendship, kindhearted cynicism, energy, and inability to lose their optimism in the face of the grittiness of reality have always been a wind in my sails. Special thanks also to my non-Irish support team of friends and intellectual guides: Reed Ayers, Dave Barry, Gary Dispoto, Matt Gaubatz, Ellis Gayles, Stephen Pollard, Tom Schmeister, Steve Siatczynski, Dave Wright, and Bob Ulichney. Thank you, brothers!

Some of our best friends come from professional organizations. From ACM Doc Eng, I have lifelong friends in Steve Bagley, the Balinskys, Dave and Julie Brailsford, Alexandra Bonnici, Tamir Hassan, Rafael Lins, Cerstin Mahlow, Ethan Munson, Michael Piotrowski, and so many more. Thank you all! From IS&T, Suzanne Grinnan and staff (Jenny OBrien, Diana Gonzalez, Roberta Morehouse, Donna Smith, and Marion Zoretich chief among them), Alan Hodgson, Robin Jenkin, Susan Farnand, and many others have helped guide my research and professional career with friendship and advice.

A friend and IS&T colleague who Ive worked with for 10 years played a huge role in this book. Thanks, and then, more thanks goes to Marie Vans for proofreading this entire book from start to finish. If errors remain, they are of course my evil spawn, but thanks to Marie; an unholy horde of heuristic horrors has already been eliminated. Marie, thank you so much! Having someone as talented as you are in the research area of this book go through it with a fine-tooth comb was wonderful.

Finally, this book is dedicated to Tess, my life partner for 30 years. I cannot thank you enough for your patience, encouragement, and occasional hard reset. Along with Tess, I can trust my two amazing sons (Kieran and Dallen) and my great friend, Doug Heins, to keep me on trackin life and in learning, which is really the same. Your talents, feedback, investment, and love of learning are not just inspiringthey are the breath inspired. Thank you!

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