Statistics, Data Analysis & Decision Modeling (4th Edition) Review

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(More customer reviews)The concepts of the book helps people who are not major in statistic a lot. It uses simple words and some example to help people to understand the concepts in the book.

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A pragmatic approach to statistics, data analysis and decision modeling.

Statistics, Data Analysis & Decision Modeling focuses on the practical understanding of its topics, allowing readers to develop conceptual insight on fundamental techniques and theories. Evans' dedication to present material in a simple and straightforward fashion is ideal for comprehension.
The latest edition of this text has been substantially re-written to improve clarity and make topics more up-to-date and practical.

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Core Web Programming (2nd Edition) Review

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(More customer reviews)Before I bought this book: I knew about html basic elements such as head, body, p, and a few more. I had to use tools to create web pages and I never knew how it really works, and I didn't use any advanced elements. Now I can do web pages much better, use CSS and many other cool things.
This book is so well organized it has good approach, from easy elements to harder elements. It covers very interesting topics starting with text elements (for beginning), frames, css, java introduction, java programming, basic 2d & 3d graphics, mouse and keyb. events, layout managers, awt components, swing, threads, network programming (excellent one), and finally server side stuff (java server pages, servlets,jdbc...).

My wish would be to remove java programming sections, since java programming is too big and to complex to show it in 2 or 3 sections, also there are plenty java programming books around. However this is just my opinion.

*All* of the examples are SHORT and INDEPENDENT: you don't have to read all chapters in a row to be able to understand the example. Each topic has it's own nice and small example which exactly points out the essential things. I really hate reading a book from beginning to the end, therefore I hate when whole book is based on one example which grows as you go further - THIS BOOK IS NOT LIKE THAT, althow more examples would be even better.

Finally, this is one of the best books I own, the only negative mark is that java programming should be removed, as well as awt, and instead more java script should be present, however this problem is easy to overcome by buying one of numerous java script books (recomended: JavaScript Bible by Danny Goodman).

Sorry for typos, good luck to all, bye !

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Every Web developer needs to understand three core technologies: HTML 4, Java 2/J2EE, and JavaScript. Now, you can learn them all in one book: Core Web Programming, Second Edition, the ultimate Web development resource for experienced programmers! Writing for experienced programmers, Marty Hall begins with detailed, practical coverage of HTML 4 -- from the fundamentals to Cascading Style Sheets, Dynamic HTML, and beyond. Next, Hall shows programmers how to use Java as the base language for Web programming, and integrate other key technologies as needed. Along the way, Hall presents Web-focused coverage of Swing, Java threads, I/O, network programming on both clients and servers, HTTP, servlets, JavaServer Pages, and the latest version of JavaScript -- everything you need to know to build the most effective Web applications possible.

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Smart Enough Systems: How to Deliver Competitive Advantage by Automating Hidden Decisions Review

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(More customer reviews)James Taylor knows the Enterprise Decision Making space and has a lot to teach the rest of us. The first several chapters make an excellent business case for the use of decision systems. I found myself underlining and marking content on several pages. His message, however, gets muted by his disjointed writing style, a problem compounded by a poor graphic layout. The disjointedness is mostly a distraction in the first few chapters, but becomes more critical as the content becomes deeper and more technical. (One of my current job responsibilities is leading a business rules system implementation at my company.)

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"Automated decisions systems are probably already being used in your industry, and they will undoubtedly grow in importance. If your business needs to make quick, accurate decisions on an industrialized scale, you need to read this book."Thomas H. Davenport, Professor, Babson College, Author of Competing on AnalyticsThe computer-based systems most organizations rely on to support their businesses are not very smart. Many of the business decisions these companies make tend to be hidden in systems that make poor decisions, or don't make them at all. Further, most systems struggle to keep up with the pace of change.The answer is not to implement newer, "intelligent" systems. The fact is that much of today's existing technology has the potential to be "smart enough" to make a big difference to an organization's business. This book tells you how.Although the business context and underlying principles are explained in a nontechnical manner, the book also contains how-to guidance for more technical readers.The book's companion site, www.smartenoughsystems.com, has additional information and references for practitioners as well as news and updates.Additional Praise for Smart (Enough) Systems"James Taylor and Neil Raden are on to something important in this book–the tremendous value of improving the large number of routine decisions that are made in organizations every day."Dr. Hugh J. Watson, Chair of Business Administration, University of Georgia"This is a very important book. It lays out the agenda for business technology in the new century–nothing less than how to reorganize every aspect of how a company treats its customers."David Raab, President, ClientXClient"This book is an important contribution to business productivity because it covers the opportunity from both the business executive's and technologist's perspective. This should be on every operational executive's and every CIO's list of essential reading."John Parkinson, Former CTO, Capgemini, North American Region"This book shows how to use proven technology to make business processes smarter. It clearly makes the case that organizations need to optimize their operational decisions. It is a must-have reference for process professionals throughout your organization."Jim Sinur, Chief Strategy Officer, Global 360, Inc.

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Data Mining: Introductory and Advanced Topics Review

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(More customer reviews)Dunham gives a clear explanation of the main ideas in data mining. It's a concise book, directed towards the researcher or programmer. Space considerations meant that some topics are only briefly but succinctly covered, like fuzzy logic.
More details are provided about neural networks, genetic algorithms and similarity measures. Bayesian classifications also get a good mention. Other classification measures involve distance-based methods to define clusters. For clustering, you should note that exactly what goes into a given cluster can be rather subjective. It could depend on your choice of metric.
There is a fair amount of maths. Accessible to someone with a couple of years of university level maths, especially involving linear algebra.
The section on Web mining is especially interesting. The Web is probably the largest database in the world. Certainly the most accessible. But with different characteristics from many other databases. Web data might be wrong, deliberately or otherwise. And some websites might be link farms, that try to pump up page rankings. Other databases simply don't have this concern about their contents. Dunham explains Google's PageRank and a competing idea from IBM.
The algorithms are given in pseudocode. Which should not be a problem to an experienced programmer. Translating these into your choice of language is (or at least it should be) a lesser conceptual task than understanding the methods themselves. Or devising new methods. The book also aids the latter. Dunham's descriptions of the overall logic behind each algorithm is a good lead into what is needed in construction new ones.

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Thorough in its coverage from basic to advanced topics, this book presents the key algorithms and techniques used in data mining. An emphasis is placed on the use of data mining concepts in real world applications with large database components. Includes unique chapters on Web mining, spatial mining, temporal mining, and prototypes and DM products. Separate case studies section highlights real world applications. An excellent reference book for computer database professionals and researchers.

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