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81. Mining the Talk: Unlocking the Business Value in Unstructured Information by Scott Spangler, Jeffrey Kreulen | |
Paperback: 240
Pages
(2007-07-29)
list price: US$49.99 -- used & new: US$22.49 (price subject to change: see help) Asin: 0132339536 Average Customer Review: Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description Leverage Unstructured Data to Become More Competitive, Responsive, and Innovative In Mining the Talk, two leading-edge IBM researchers introduce a revolutionary new approach to unlocking the business value hidden in virtually any form of unstructured data–from word processing documents to websites, emails to instant messages. The authors review the business drivers that have made unstructured data so important–and explain why conventional methods for working with it are inadequate. Then, writing for business professionals–not just data mining specialists–they walk step-by-step through exploring your unstructured data, understanding it, and analyzing it effectively. Next, you’ll put IBM’s techniques to work in five key areas: learning from your customer interactions; hearing the voices of customers when they’re not talking to you; discovering the “collective consciousness” of your own organization; enhancing innovation; and spotting emerging trends. Whatever your organization, Mining the Talk offers you breakthrough opportunities to become more responsive, agile, and competitive. Preface xv Acknowledgements xx Chapter 1: Introduction 1 Chapter 2: Mining Customer Interactions 21 Chapter 3: Mining the Voice of the Customer 71 Chapter 4: Mining the Voice of the Employee 93 Chapter 5: Mining to Improve Innovation 111 Chapter 6: Mining to See the Future 133 Chapter 7: Future Applications 163 Appendix: The IBM Unstructured Information Modeler Users Manual 171 Customer Reviews (15)
Excellent & approachable text-mining book
Valuable Source
Highly Readable and Intriguing
Finding the real value in your unstructured data...
Mining the Talk - and explaining it to non-IT professionals |
82. The immigrant and coal mining communities of Illinois by Grace Abbott | |
Paperback: 50
Pages
(2010-06-07)
list price: US$16.75 -- used & new: US$10.44 (price subject to change: see help) Asin: 1149908815 Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description |
83. Techniques in Underground Mining: Selections from Underground Mining Methods Handbook | |
Hardcover: 823
Pages
(1998-09)
list price: US$115.00 -- used & new: US$101.79 (price subject to change: see help) Asin: 0873351630 Average Customer Review: Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description Customer Reviews (2)
A reviewed selection of a must-have handbook
Underground Mining: A full review |
84. The Medicine Bow Mining Camps by Mel Duncan | |
Paperback:
Pages
(2002-04-01)
list price: US$14.95 Isbn: 0936204893 Canada | United Kingdom | Germany | France | Japan | |
85. Business Modeling and Data Mining (The Morgan Kaufmann Series in Data Management Systems) by Dorian Pyle | |
Paperback: 650
Pages
(2003-05-20)
list price: US$84.95 -- used & new: US$53.25 (price subject to change: see help) Asin: 155860653X Average Customer Review: Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description Customer Reviews (4)
Great book
Not a _practical_ introduction
Wonderful Book The second part shows many techniques for dealing with business situations and how to translate them into a data mining problem. Many of these topics were new for me and I was able to learn and apply a lot of these powerful methodology. Part 3 is mainly about the data mining algorithms, different approach to solve data mining problems and how to improve the results. Although I knew about this subject, many topics are discussed in a very interesting point of view. Finally, the part 4 provides a full interactive methodology which summarizes the previous parts. I have found this part very helpful in my work as business modeling consultant. Summarizing, I think that this book is excellent and it would be read by anyone who wants to apply data analysis to the real world.
Using data to solve busines problems All steps are described in practical detail, making the book extremely actionable, and tool independent. First, how to determine the appropriate problem to analyze? Then, what are the right data, and how do I get them? Only then does the data mining begin, and a groundbreaking, comprehensive methodology is put forward to come up with the best possible model in every circumstance. The business modeling and data mining methodologies explicate at every possible step in the process- what to do, and how to proceed. In addition, a lot of supporting material provides insight on topics like working with conditional probabilities, regression to the mean, visualizing model performance and errors in problem space, etc. Mr. Pyle's previous book set the mark with regards to data preparation. This book is much broader in its scope and should actually be read before the previous one. It's pretty hefty, but more than worth the read. In my opinion it should also be mandatory for `data savvy' marketers as well, for instance as textbook in contemporary MBA courses. ... Read more |
86. International Mining Law by Theodore Francis Van Wagenen | |
Paperback: 356
Pages
(2008-10-15)
list price: US$31.75 -- used & new: US$20.45 (price subject to change: see help) Asin: 0559344627 Canada | United Kingdom | Germany | France | Japan | |
87. The Roy Stone Hydraulic Mining And Dredging Company (1880) by Roy Stone | |
Hardcover: 28
Pages
(2010-05-23)
list price: US$30.95 -- used & new: US$23.51 (price subject to change: see help) Asin: 1161917594 Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description |
88. Mining Engineers and the American West: The Lace-Boot Brigade, 1849-1933 by Clark C. Spence | |
Paperback: 407
Pages
(1994-01)
list price: US$29.95 -- used & new: US$21.95 (price subject to change: see help) Asin: 0893011673 Canada | United Kingdom | Germany | France | Japan | |
89. A Hole in the Ground with A Liar at the Top: Fraud and Deceit in the Golden Age of American Mining by Dan Plazak | |
Paperback: 288
Pages
(2010-01-31)
list price: US$24.95 -- used & new: US$16.07 (price subject to change: see help) Asin: 1607810204 Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description Coal, silver, gold. There is something about the allure of hidden treasure that puts a glint in people's eyes. By gathering such familiar stories as that of Nevada's infamous Comstock Lode with a succession of lesser-known scandals, Dan Plazak provides an entertaining and informative volume that delightfully investigates the history of mining frauds in the United States from the Civil War to World War 1. |
90. Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations (The Morgan Kaufmann Series in Data Management Systems) by Ian H. Witten, Eibe Frank | |
Paperback: 371
Pages
(1999-10-25)
list price: US$55.95 -- used & new: US$80.30 (price subject to change: see help) Asin: 1558605525 Average Customer Review: Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description This book offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. Inside, you'll learn all you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining-including both tried-and-true techniques of the past and Java-based methods at the leading edge of contemporary research. If you're involved at any level in the work of extracting usable knowledge from large collections of data, this clearly written and effectively illustrated book will prove an invaluable resource. Complementing the authors' instruction is a fully functional platform-independent Java software system for machine learning, available for download. Apply it to the sample data sets provided to refine your data mining skills, apply it to your own data to discern meaningful patterns and generate valuable insights, adapt it for your specialized data mining applications, or use it to develop your own machine learning schemes. This text is remarkable with its comprehensive review of recent research on machine learning, all told in a very approachable style. (While there is plenty of math in some sections, the authors' explanations are always clear.) The book tours the nature of machine learning and how it can be used to find predictive patterns in data comprehensible to managers and developers alike. And theyuse sample data (for such topics as weather, contact lens prescriptions, and flowers) to illustrate key concepts. After setting out to explain the types of machine learning models (like decision trees and classification rules), the book surveys algorithms used to implement them, plus strategies for improving performance and the reliability of results. Later the book turns to the authors' downloadable Weka (rhymes with "Mecca") Java class library, which lets you experiment with data mining hands-on and gets you started with this technology in custom applications. Final sections look at the bright prospects for data mining and machine learning on the Internet (for example, in Web search engines). Precise but never pedantic, this admirably clear title delivers a real-world perspective on advantages of data mining and machine learning. Besides a programming how-to, it can be read profitably by any manager or developer who wants to see what leading-edge machine learning techniques can do for their software. --Richard Dragan Topics covered: Data mining and machine learning basics, sample datasets and applications for data mining, machine learning vs. statistics, the ethics of data mining, generalization, concepts, attributes, missing values, decision tables and trees, classification rules, association rules, exceptions, numeric prediction, clustering, algorithms and implementations in Java, inferring rules, statistical modeling, covering algorithms, linear models, support vector machines, instance-based learning, credibility, cross-validation, probability, costs (lift charts and ROC curves), selecting attributes, data cleansing, combining multiple models (bagging, boosting, and stacking), Weka (reusable Java classes for machine learning), customizing Weka, visualizing machine learning, working with massive datasets, text mining, and e-mail and the Internet. Customer Reviews (17)
An Excellent Data Mining Text
A good book to practice
A nice complement to the other data mining bible
Stop searching for datamining: You've found it. As a result of this quest I found the WEKA data mining software on the Internet (you can find it on www.cs.waikato.ac.nz/~ml/weka/) and that nice piece of software leaded me to this book. This book is EXCELLENT and I am giving 5 *five* stars to it as it helped me understanding the whole process of datamining: from loading the data to building the model. I've read some reviews and I think some of them are not fair (particularly one that says that this book have "just words with no relation or sense at all").. THIS BOOK IS REALLY WELL WRITTEN but you have to read it slowly: As when you study something. Buy this book (*don't forget to download the software*) and I am totally sure that you will be producing and using models in a week. Can't imagine that some weeks ago Cheers,
Try to cover many, but not depth enough. |
91. Hittel on Gold Mines and Mining by John S. Hittell | |
Paperback: 40
Pages
(2010-07-24)
list price: US$14.14 -- used & new: US$14.13 (price subject to change: see help) Asin: 115382275X Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description |
92. Text Mining: Predictive Methods for Analyzing Unstructured Information by Sholom M. Weiss, Nitin Indurkhya, Tong Zhang, Fred Damerau | |
Paperback: 236
Pages
(2010-11-02)
list price: US$109.00 -- used & new: US$79.50 (price subject to change: see help) Asin: 1441929967 Average Customer Review: Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description Customer Reviews (5)
it is 200 pages thick
Great introduction book of text mining
an idiot savant, statistical viewpoint
Very Good Intro Book
An excellent introduction |
93. Data Mining for Intelligence, Fraud & Criminal Detection: Advanced Analytics & Information Sharing Technologies by Christopher Westphal | |
Hardcover: 440
Pages
(2008-12-22)
list price: US$73.95 -- used & new: US$63.98 (price subject to change: see help) Asin: 1420067230 Average Customer Review: Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description In 2004, the Government Accountability Office provided a report detailing approximately 200 government-based data-mining projects. While there is comfort in knowing that there are many effective systems, that comfort isn’t worth much unless we can determine that these systems are being effectively and responsibly employed. Written by one of the most respected consultants in the area of data mining and security, Data Mining for Intelligence, Fraud & Criminal Detection: Advanced Analytics & Information Sharing Technologies reviews the tangible results produced by these systems and evaluates their effectiveness. While CSI-type shows may depict information sharing and analysis that are accomplished with the push of a button, this sort of proficiency is more fiction than reality. Going beyond a discussion of the various technologies, the author outlines the issues of information sharing and the effective interpretation of results, which are critical to any integrated homeland security effort. Organized into three main sections, the book fully examines and outlines the future of this field with an insider’s perspective and a visionary’s insight. Currently, there is very little published literature that truly defines real-world systems. Although politics and other factors all play into how much one agency is willing to support the sharing of its resources, many now embrace the wisdom of that path. This book will provide those individuals with an understanding of what approaches are currently available and how they can be most effectively employed. Customer Reviews (1)
Think of It as a 2-1/2 LB Stimulus Package |
94. Mining the Web: Discovering Knowledge from Hypertext Data by Soumen Chakrabarti | |
Hardcover: 344
Pages
(2002-10-23)
list price: US$82.95 -- used & new: US$17.00 (price subject to change: see help) Asin: 1558607544 Average Customer Review: Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description Customer Reviews (8)
comprehensive web mining book though 326 pages
Great coverage, but quite a few errors
Readable, approachable, informative
The best general purpose book on the subject I've seen
A wonderful textbook for machine learning over the web |
95. The Top Ten Algorithms in Data Mining (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) | |
Hardcover: 232
Pages
(2009-04-09)
list price: US$79.95 -- used & new: US$63.96 (price subject to change: see help) Asin: 1420089641 Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description The Best-Known Algorithms Currently Used in the Data Mining Community Identifying some of the most influential algorithms that are widely used in the data mining community, The Top Ten Algorithms in Data Mining provides a description of each algorithm, discusses its impact, and reviews current and future research. Thoroughly evaluated by independent reviewers, each chapter focuses on a particular algorithm and is written by either the original authors of the algorithm or world-class researchers who have extensively studied the respective algorithm. The book concentrates on the following important algorithms: C4.5, k-Means, SVM, Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART. Examples illustrate how each algorithm works and highlight its overall performance in a real-world application. The text covers key topics—including classification, clustering, statistical learning, association analysis, and link mining—in data mining research and development as well as in data mining, machine learning, and artificial intelligence courses. By naming the leading algorithms in this field, this book encourages the use of data mining techniques in a broader realm of real-world applications. It should inspire more data mining researchers to further explore the impact and novel research issues of these algorithms. |
96. Building Intelligent .NET Applications: Agents, Data Mining, Rule-Based Systems, and Speech Processing by Sara Morgan Rea | |
Paperback: 312
Pages
(2005-04-04)
list price: US$49.99 -- used & new: US$7.80 (price subject to change: see help) Asin: 0321246268 Average Customer Review: Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description Customer Reviews (9)
Its not much of Intelligence rather using microsoft stuff
Building Intelligent .NET Applications
The worst book I've on net
Not Very In-Depth, Not a lot of code examples
Great primer book on Microsoft technologies for Intelligent Apps |
97. Mining Group Gold, Third Editon: How to Cash in on the Collaborative Brain Power of a Team for Innovation and Results by Thomas Kayser | |
Hardcover: 272
Pages
(2010-08-11)
list price: US$24.95 -- used & new: US$14.66 (price subject to change: see help) Asin: 0071740627 Average Customer Review: Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description Building and maintaining a strong and effective team If two heads are better than one, how about a team of heads? An effective team can be more innovative than an individual. But how do you get there? Building and managing a strong, productive team is difficult and the Mining Group Gold gives you the proven tools, techniques and processes that you must use and practice al all levels of your organization to build and maintain a strong collaborative team. Based on 30 years of work on teams and organizational development this updated classical guide shows you how to set clear goals and desired outcomes and how to plan efficient and effective meetings. It's also been updated to include the latest research and cutting-edge technology. The Mining Group Gold features: Based on practical advice rather than fluff or theory, the Mining Group Gold is the essential guide to building and maintaining a strong team. Customer Reviews (4)
Mining Group Gold - Third Addition
Timeless and always relevant information
Get the Most from Your Team - Get the Most from Your Meetings
I'm a Beleiver! |
98. Colorado mining: A photographic history by Duane A Smith | |
Hardcover: 176
Pages
(1977)
-- used & new: US$145.28 (price subject to change: see help) Asin: 0826304370 Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description |
99. Hard Places: Reading the Landscape of America's Historic Mining Districts (American Land and Life Series) by Richard V. Francaviglia | |
Paperback: 257
Pages
(1997-09)
list price: US$21.00 -- used & new: US$15.00 (price subject to change: see help) Asin: 0877456097 Average Customer Review: Canada | United Kingdom | Germany | France | Japan | |
Customer Reviews (2)
Hard Places:easy to read
Great academic work on mining landscapes |
100. Data Mining: Concepts, Models, Methods, and Algorithms by Mehmed Kantardzic | |
Paperback: 360
Pages
(2002-10-25)
list price: US$105.00 -- used & new: US$69.00 (price subject to change: see help) Asin: 0471228524 Average Customer Review: Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description Customer Reviews (3)
Good introduction to Neural Networks
Pattern recognition or machine learning, not data mining
Survey, not how-to This book's strength is its breadth. It offers brief tastes of many topics. It discusses early data preparation, including reduction of dimension and handling of outliers and missing values. It emphasizes that different kinds of questions must be addressed in different ways. The rest of the book then covers decision rules of different sorts, clustering, neural networks, genetic algorithms, fuzzy logic, and data visualization. Each chapter includes references and comments on what to expect from each reference - a nice touch. The end of the book names a wide variety of web sites, products, and companies dedicated to data mining. The big problem, however, is that the book is shallow. With a few exceptions, it just names techniques instead of giving descriptions that a programmer can use. For example, the discussion of missing data barely mentions the idea that imputed (made-up) values must be tailored to the specific analysis technique, so as to minimize their effect on results. There are exceptions, of course. Neural nets get a relatively detailed treatment. The author gives illustrative examples of genetic algorithms, but those were thin and tangential to data mining. The section on data visualization could have been much more lively. There is a huge body of visual technique, some bordering on artistry, that can present high-dimensional data to the human pattern-detection faculty, and samples are readily available. This book's examples were small and drab, though. Also, it completely ignored the research in auditory and tactile data representation, and omitted discussion of graphic design principles required for effective presentation. What really bothered me were examples of sheer carelessness. A number of figures, including 4.8 and 9.9, contain errors severe enough to interfere with the point being made. Important relationships are simply illegible. Books like this aren't cheap - I would have hoped that the author would show a little more respect for the people paying the money. This book may have value as a survey resource, but isn't for the reader who wants to implement the algorithms. Its bibliography is informative, but not a major asset. Indices of current products and web sites nearly guarantee early obsolescence. Look this over thoroughly before you commit your time and money to it. ... Read more |
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