Editorial Reviews
Product Description
One of the most exciting developments in business today, Enterprise Resource Planning offers a wealth of opportunities for increased productivity by bringing a company's many different systems together into one large integrated system. This complete introduction to the world of Enterprise Resource Planning provides the necessary background for success in today's marketplace.

“Every C++ professional needs a copy of Effective C++ . It is an absolute must-read for anyone thinking of doing serious C++ development. If you’ve never read Effective C++ and you think you know everything about C++, think again.”
— Steve Schirripa, Software Engineer, Google “C++ and the C++ community have grown up in the last fifteen years, and the third edition of Effective C++ reflects this. The clear and precise style of the book is evidence of Scott’s deep insight and distinctive ability to impart knowledge.”
— Gerhard Kreuzer, Research and Development Engineer, Siemens AG The first two editions of Effective C++ were embraced by hundreds of thousands of programmers worldwide. The reason is clear: Scott Meyers’ practical approach to C++ describes the rules of thumb used by the experts — the things they almost always do or almost always avoid doing — to produce clear, correct, efficient code. The book is organized around 55 specific guidelines, each of which describes a way to write better C++. Each is backed by concrete examples. For this third edition, more than half the content is new, including added chapters on managing resources and using templates. Topics from the second edition have been extensively revised to reflect modern design considerations, including exceptions, design patterns, and multithreading. Important features of Effective C++ include: Expert guidance on the design of effective classes, functions, templates, and inheritance hierarchies. Applications of new “TR1” standard library functionality, along with comparisons to existing standard library components. Insights into differences between C++ and other languages (e.g., Java, C#, C) that help developers from those languages assimilate “the C++ way” of doing things.

For undergraduate and graduate database management courses. Provide the latest information in database development. Focusing on what leading database practitioners say are the most important aspects to database development, Modern Database Management presents sound pedagogy and includes topics that are critical for the practical success of database professionals. This text also continues to guide students into the future by presenting research that could reveal the next big thing in database management. The tenth edition reflects the major trends in information systems and helps students acquire the skills the need to be successful in today's database management field.
MyLab或是Mastering系列是在线作业系统。Access Code Card是在线作业系统的访问码，是老师和学生课堂之外网络互动及交流的平台，个人是无法使用这个平台的。请读者注意您购买的这个ISBN是不带Access Code Card的。

几年前，“数学之美”系列文章原刊载于谷歌黑板报，获得上百万次点击，得到读者高度评价。读者说，读了“数学之美”，才发现大学时学的数学知识，比如马尔可夫链、矩阵计算，甚至余弦函数原来都如此亲切，并且栩栩如生，才发现自然语言和信息处理这么有趣。
今年，作者吴军博士几乎把所有文章都重写了一遍，为的是把高深的数学原理讲得更加通俗易懂，让非专业读者也能领略数学的魅力。读者通过具体的例子学到的是思考问题的方式 —— 如何化繁为简，如何用数学去解决工程问题，如何跳出固有思维不断去思考创新。

Continuing his exploration of the organization of complexity and the science of design, this new edition of Herbert Simon's classic work on artificial intelligence adds a chapter that sorts out the current themes and tools -- chaos, adaptive systems, genetic algorithms -- for analyzing complexity and complex systems.There are updates throughout the book as well. These take into account important advances in cognitive psychology and the science of design while confirming and extending the book's basic thesis: that a physical symbol system has the necessary and sufficient means for intelligent action. The chapter "Economic Reality" has also been revised to reflect a change in emphasis in Simon's thinking about the respective roles of organizations and markets in economic systems.

James Gleick, the author of the bestsellers Chaos and Genius , brings us his crowning work: a revelatory chronicle that shows how information has become the modern era’s defining quality—the blood, the fuel, the vital principle of our world.
The story of information begins in a time profoundly unlike our own, when every thought and utterance vanished as soon as it was born. From the invention of scripts and alphabets to the long misunderstood “talking drums” of Africa, James Gleick tells the story of information technologies that changed the very nature of human consciousness. He provides portraits of the key figures contributing to the inexorable development of our modern understanding of information: Charles Babbage, the idiosyncratic inventor of the first great mechanical computer; Ada Byron, the poet’s brilliant and doomed daughter, who became the first true programmer; pivotal figures like Samuel Morse and Alan Turing; and Claude Shannon, the creator of information theory itself.
And then the information age comes upon us. Citizens of this world become experts willy-nilly: aficionados of bits and bytes. And they sometimes feel they are drowning, swept by a deluge of signs and signals, news and images, blogs and tweets. The Information is the story of how we got here and where we are heading. It will transform readers’ view of its subject.

(copied from www.amazon.com)
Editorial Reviews
Product Description
The all-new 2nd Edition of this bestselling book covers ABAP development with SAP NetWeaver. Whether you are new to ABAP programming, an experienced developer, or a consultant or project team member: this in-depth reference provides you with comprehensive knowledge of all facets of ABAP technology.
Based on ABAP Objects, this 1000+ page book describes all concepts of modern ABAP up to Release 7.0 (including a "sneak preview" of Release 7.10). Brand new topics found in the new edition include SAP NetWeaver Application Server ABAP, Regular Expressions, Shared Objects, class-based exception handling, assertions, Web Dynpro for ABAP, Object Services, dynamic programming, interface technologies (RFC, ICF, XML), and test tools, among others. Procedural techniques are also covered where necessary.
Highlights:
SAP NetWeaver Application Server ABAP
Development basics: ABAP Workbench, Object Navigator, Class Builder, etc.
Basic elements of ABAP Objects
Classic modularisation and program execution
Avoiding erros and error handling
GUI programming: dynpros, lists, selection screens, controls and Web Dynpro
Persistent data: DB access, Object Services, file interface, data clusters
Dynamic programming: field symbols, RTTS, dynamic tokens and procedure calls
Data und communication interfaces: RFC, ICF, web services, XML

The first comprehensive, English-language guide to the latest version of ABAP: SAP's ABAP Objects! -- Authoritative, systematic coverage of SAP R/3 Release 4.6 programming, straight from SAP: co-authored by a key member of the SAP ABAP language group! -- New object-oriented ABAP programming techniques: inheritance, interfaces, polymorphism, and more. -- 2 CD-ROMs contain a complete test version of a full-fledged SAP Basis system for Windows 2000/NT, plus all of the book's code examples! With ABAP Objects for SAP R/3 Release 4.6, SAP gives ABAP powerful new object-oriented features designed to support the new Internet applications SAP users are seeking to build. Co-authored by a member of SAP's ABAP Language Group, and approved by the entire group for technical accuracy, ABAP Objects presents definitive coverage of every aspect of development with this powerful new version of ABAP. ABAP Objects combines practical tutorials with an authoritative reference to the entire language. The authors begin with a fresh overview of the entire language, an introduction to the new ABAP Workbench for SAP Release 4.6, and the development of a complete sample application that displays database data inside a GUI control. After reviewing several essential ABAP concepts, they move on to an in-depth explanation of ABAP statements for working with data. The book contains in-depth coverage of object-oriented programming with ABAP, including inheritance, interfaces and polymorphism; and explains how "classical" concepts such as selection screens, lists and SQL programming relate to ABAP's new object-oriented approach. Coverage includes: the ABAP Type Concept, handling internal tables, programmingscreens with ABAP Objects and the Control Framework, and more.

National Bestseller
“No other book offers such an accessible and balanced tour of the many benefits and downsides of our continuing infatuation with data.”—Wall Street Journal
“What I’m certain about is that Big Data will be the defining text in the discussion for some time to come.”—Forbes.com It seems like “big data” is in the news every day, with new examples of how powerful algorithms are teasing out the hidden connections between seemingly unrelated things. Whether it is used by the NSA to fight terrorism or by online retailers to predict customers’ buying patterns, big data is a revolution occurring around us, in the process of forever changing economics, science, culture, and the very way we think. But it also poses new threats, from the end of privacy as we know it to the prospect of being penalized for things we haven’t even done yet, based on big data’s ability to predict our future behavior.
Big Data is the first big book about this earthshaking subject, with two leading experts explaining what big data is, how it will change our lives, and what we can do to protect ourselves from its hazards.

In the last 50 years the world has been completely transformed through the use of IT. We have now reached a new inflection point. Here we present, for the first time, how in-memory computing is changing the way businesses are run. Today, enterprise data is split into separate databases for performance reasons. Analytical data resides in warehouses, synchronized periodically with transactional systems. This separation makes flexible, real-time reporting on current data impossible. Multi-core CPUs, large main memories, cloud computing and powerful mobile devices are serving as the foundation for the transition of enterprises away from this restrictive model. We describe techniques that allow analytical and transactional processing at the speed of thought and enable new ways of doing business. The book is intended for university students, IT-professionals and IT-managers, but also for senior management who wish to create new business processes by leveraging in-memory computing.

The dramatic growth in practical applications for machine learning over the last ten years has been accompanied by many important developments in the underlying algorithms and techniques. For example, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic techniques. The practical applicability of Bayesian methods has been greatly enhanced by the development of a range of approximate inference algorithms such as variational Bayes and expectation propagation, while new models based on kernels have had a significant impact on both algorithms and applications.
This completely new textbook reflects these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as researchers and practitioners. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.
The book is suitable for courses on machine learning, statistics, computer science, signal processing, computer vision, data mining, and bioinformatics. Extensive support is provided for course instructors, including more than 400 exercises, graded according to difficulty. Example solutions for a subset of the exercises are available from the book web site, while solutions for the remainder can be obtained by instructors from the publisher. The book is supported by a great deal of additional material, and the reader is encouraged to visit the book web site for the latest information.

Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. The book covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor.
The first edition became a widely used text in universities worldwide as well as the standard reference for professionals. The second edition featured new chapters on the role of algorithms, probabilistic analysis and randomized algorithms, and linear programming. The third edition has been revised and updated throughout. It includes two completely new chapters, on van Emde Boas trees and multithreaded algorithms, and substantial additions to the chapter on recurrences (now called "Divide-and-Conquer"). It features improved treatment of dynamic programming and greedy algorithms and a new notion of edge-based flow in the material on flow networks. Many new exercises and problems have been added for this edition.
As of the third edition, this textbook is published exclusively by the MIT Press.

The increasing volume of data in modern business and science calls for more complex and sophisticated tools. Although advances in data mining technology have made extensive data collection much easier, it's still always evolving and there is a constant need for new techniques and tools that can help us transform this data into useful information and knowledge. Since the previous edition's publication, great advances have been made in the field of data mining. Not only does the third of edition of Data Mining: Concepts and Techniques continue the tradition of equipping you with an understanding and application of the theory and practice of discovering patterns hidden in large data sets, it also focuses on new, important topics in the field: data warehouses and data cube technology, mining stream, mining social networks, and mining spatial, multimedia and other complex data. Each chapter is a stand-alone guide to a critical topic, presenting proven algorithms and sound implementations ready to be used directly or with strategic modification against live data. This is the resource you need if you want to apply today's most powerful data mining techniques to meet real business challenges.
* Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects. * Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields. *Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data

The long-anticipated revision of this #1 selling book offers the most comprehensive, state of the art introduction to the theory and practice of artificial intelligence for modern applications. Intelligent Agents. Solving Problems by Searching. Informed Search Methods. Game Playing. Agents that Reason Logically. First-order Logic. Building a Knowledge Base. Inference in First-Order Logic. Logical Reasoning Systems. Practical Planning. Planning and Acting. Uncertainty. Probabilistic Reasoning Systems. Making Simple Decisions. Making Complex Decisions. Learning from Observations. Learning with Neural Networks. Reinforcement Learning. Knowledge in Learning. Agents that Communicate. Practical Communication in English. Perception. Robotics. For computer professionals, linguists, and cognitive scientists interested in artificial intelligence.