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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Data Structures and Algorithms in Java Review

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(More customer reviews)Drake wastes little time in getting to his subject. You are expected to already know at least the rudiments of Java. Hopefully of version 1.5, which is the current major release of Java. The numerous code snippets in the text are drawn from this version. Because it has a very extensive set of native classes that implement many of the structures covered by the book.
The text can be read at one or both of two levels. Firstly, you might already be well familiar with such ideas as linked lists, hash tables, trees, graphs, sorting, searching etc. Perhaps from other languages. What you are looking for is a comprehensive description of how these are expressed or can be expressed in Java.
The other level is where you need to learn the data structures and algorithms for the first time. Here, there is a stark contrast with Knuth's classic "Art of Computer Programming". That is a far more advanced text. But the relevant difference in our context is that Knuth requires you to write all the code yourself, in some language. Whereas Drake demonstrates how, right out of the box with Java 1.5, you get so much already implemented, for free. The latter is not figurative. The Java 1.5 distribution is made freely available by Sun.
It should also be said that this book will still be germane when 1.5 is superseded by future versions of Java. You can safely expect that those versions will be supersets of the functionality used in this book, based on the prior history of the major Java versions and how each differed from its predecessor.

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This new book provides a concise and engaging introduction to Java and object-oriented programming with an abundance of original examples, use of Unified Modeling Language throughout, and coverage of the new Java 1.5. Addressing critical concepts up front, the book's five-part structure covers object-oriented programming, linear structures, algorithms, trees and collections, and advanced topics. KEY FEATURES: Data Structures and Algorithms in Java takes a practical approach to real-world programming and introduces readers to the process of crafting programs by working through the development of projects, often providing multiple versions of the code and consideration for alternate designs. The book features the extensive use of games as examples; a gradual development of classes analogous to the Java Collections Framework; complete, working code in the book and online; and strong pedagogy including extended examples in most chapters along with exercises, problems and projects. For readers and professionals with a familiarity with the basic control structures of Java or C and a precalculus level of mathematics who want to expand their knowledge to Java data structures and algorithms. Ideal for a second undergraduate course in computer science.

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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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