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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
* 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"
Making the move from an IT technician or team member to management is one of the most difficult career steps you ll face. Help from management and targeted training can be hard to come by - and your success depends on your ability to adapt to your new role almost overnight. You might have years of experience in the trenches, but you ll quickly find that managing a team, setting budgets, and creating a winning strategy for the first time can be daunting tasks.
Now in its third edition, "IT Manager s Handbook" provides a
practical reference that you will return to again and again in an
ever-changing corporate environment where the demands on IT
continue to increase. Make your first 100 days really count with
the fundamental principles and core concepts critical to your
success as a new IT Manager. The book also includes discusses how
to develop an overall IT strategy as well as demonstrate the value
of IT to the company.
In this book, you ll learn how to: Manage your enterprise s new level of connectivity with a NEW chapter covering social media, handheld devices, and moreImplement and optimize cloud services to provide a better experience for your mobile and virtual workforce at a lower cost to your bottom lineIntegrate mobile applications into your company s strategyManage the money, including topics such as department budgets and leasing versus buyingWork with your "customers," whomever those might be for your IT shopHire, train, and manage your team and their projects so that you come in on time and budgetSecure your systems to face some of today's most challenging security challenges"
The demand for SQL information and training continues to grow
with the need for a database behind every website capable of
offering web-based information queries. SQL is the de facto
standard for database retrieval, and if you need to access, update,
or utilize data in a modern database management system, youwill
need SQL to do it. TheSecond Editionof "Joe Celko's Trees and
Hierarchies in SQL for Smarties" covers two new sets of extensions
over three entirelynew chapters and expounds upon the changes that
have occurred in SQL standards since the previous edition's
publication. Benefit from mastering the challenging aspects of
these database applications in SQL as taught by Joe Celko, one of
the most-read SQL authors in the world.
*Expert advice from a noted SQL authority and award-winning columnist who has given 10 years of service to the ANSI SQL standards committee
*Teaches scores of advanced techniques that can be used with any product, in any SQL environment
*Offers graph theory and programming techniques for working around deficiencies and gives insight into real-world challenges"
How do you approach answering queries when your data is stored in multiple databases that were designed independently by different people? This is first comprehensive book on data integration and is written by three of the most respected experts in the field.
This book provides an extensive introduction to the theory and concepts underlying today's data integration techniques, with detailed, instruction for their application using concrete examples throughout to explain the concepts. Data integration is the problem of answering queries that span multiple data sources (e.g., databases, web pages). Data integration problems surface in multiple contexts, including enterprise information integration, query processing on the Web, coordination between government agencies and collaboration between scientists. In some cases, data integration is the key bottleneck to making progress in a field.
The authors provide a working knowledge of data integration
concepts and techniques, giving you the tools you need to develop a
complete and concise package of algorithms and applications.
*Offers a range of data integration solutions enabling you to focus on what is most relevant to the problem at hand.
*Enables you to build your own algorithms and implement your own data integration applications
*Companion website with numerous project-based exercises and solutions and slides. Links to commercially available software allowing readers to build their own algorithms and implement their own data integration applications. Facebook page for reader input during and after publication.
Information Modeling and Relational Databases, second edition,
provides an introduction to ORM (Object-Role Modeling)and much
more. In fact, it is the only book to go beyond introductory
coverage and provide all of the in-depth instruction you need to
transform knowledge from domain experts into a sound database
design. This book is intended for anyone with a stake in the
accuracy and efficacy of databases: systems analysts, information
modelers, database designers and administrators, and programmers.
Principles of Transaction Processing is a comprehensive guide to developing applications, designing systems, and evaluating engineering products. The book provides detailed discussions of the internal workings of transaction processing systems, and it discusses how these systems work and how best to utilize them. It covers the architecture of Web Application Servers and transactional communication paradigms. The book is divided into 11 chapters, which cover the following: Overview of transaction processing application and system structure Software abstractions found in transaction processing systems Architecture of multitier applications and the functions of transactional middleware and database servers Queued transaction processing and its internals, with IBM's Websphere MQ and Oracle's Stream AQ as examples Business process management and its mechanisms Description of the two-phase locking function, B-tree locking and multigranularity locking used in SQL database systems and nested transaction locking System recovery and its failures Two-phase commit protocol Comparison between the tradeoffs of replicating servers versus replication resources Transactional middleware products and standards Future trends, such as cloud computing platforms, composing scalable systems using distributed computing components, the use of flash storage to replace disks and data streams from sensor devices as a source of transaction requests. The text meets the needs of systems professionals, such as IT application programmers who construct TP applications, application analysts, and product developers. The book will also be invaluable to students and novices in application programming.
Are you an SQL programmer that, like many, came to SQL after
learning and writing procedural or object-oriented code? Or have
switched jobs to where a different brand of SQL is being used, or
maybe even been told to learn SQL yourself?
Data analysis for database design is a subject of great practical
value to systems analysts and designers. This classic text has been
updated to include chapters on distributed database systems, query
optimisation and object-orientation.The SQL content now includes
features of SQL92 and SQL 99.
XML has become the lingua franca for representing business data,
for exchanging information between business partners and
applications, and for adding structure
In "Distributed Algorithms," Nancy Lynch provides a blueprint
for designing, implementing, and analyzing distributed algorithms.
She directs her book at a wide audience, including students,
programmers, system designers, and researchers.
"Distributed Algorithms" contains the most significant
algorithms and impossibility results in the area, all in a simple
automata-theoretic setting. The algorithms are proved correct, and
their complexity is analyzed according to precisely defined
complexity measures. The problems covered include resource
allocation, communication, consensus among distributed processes,
data consistency, deadlock detection, leader election, global
snapshots, and many others.
The material is organized according to the system model first by
the timing model and then by the interprocess communication
mechanism. The material on system models is isolated in separate
chapters for easy reference.
The presentation is completely rigorous, yet is intuitive enough for immediate comprehension. This book familiarizes readers with important problems, algorithms, and impossibility results in the area: readers can then recognize the problems when they arise in practice, apply the algorithms to solve them, and use the impossibility results to determine whether problems are unsolvable. The book also provides readers with the basic mathematical tools for designing new algorithms and proving new impossibility results. In addition, it teaches readers how to reason carefully about distributed algorithms to model them formally, devise precise specifications for their required behavior, prove their correctness, and evaluate their performance with realistic measures."
Perfectly intelligent programmers often struggle when forced to
work with SQL. Why? Joe Celko believes the problem lies with their
procedural programming mindset, which keeps them from taking full
advantage of the power of declarative languages. The result is
overly complex and inefficient code, not to mention lost
In this complete revision and expansion of his first SQL Puzzles
book, Joe Celko challenges you with his trickiest puzzles and then
helps solve them with a variety of solutions and explanations. Joe
demonstrates the thought processes that are involved in attacking a
problem from an SQL perspective to help advanced database
programmers solve the puzzles you frequently face. These techniques
not only help with the puzzle at hand, but help develop the mindset
needed to solve the many difficult SQL puzzles you face every day.
Of course, part of the fun is to see whether or not you can write
better solutions than Joe s.
Fuzzy Modeling and Genetic Algorithms for Data Mining and
Exploration is a handbook for analysts, engineers, and managers
involved in developing data mining models in business and
government. As you'll discover, fuzzy systems are extraordinarily
valuable tools for representing and manipulating all kinds of data,
and genetic algorithms and evolutionary programming techniques
drawn from biology provide the most effective means for designing
and tuning these systems.
"Data Modeling Essentials, Third Edition" provides expert tutelage
for data modelers, business analysts and systems designers at all
levels. Beginning with the basics, this book provides a thorough
grounding in theory before guiding the reader through the various
stages of applied data modeling and database design. Later chapters
address advanced subjects, including business rules, data
warehousing, enterprise-wide modeling and data management.
This isn't a book about the Object Data Standard; it's the
When it comes to storing objects in databases, ODMG 3.0 is
The definitive book on Oracle's Rdb database.
The potential business advantages of data mining are well
documented in publications for executives and managers. However,
developers implementing major data-mining systems need concrete
information about the underlying technical principles and their
practical manifestations in order to either integrate commercially
available tools or write data-mining programs from scratch. This
book is the first technical guide to provide a complete,
generalized roadmap for developing data-mining applications,
together with advice on performing these large-scale, open-ended
analyses for real-world data warehouses.
Do you need an introductory book on data and databases? If the
book is by Joe Celko, the answer is yes. "Data and Databases:
Concepts in Practice" is the first introduction to relational
database technology written especially for practicing IT
professionals. If you work mostly outside the database world, this
book will ground you in the concepts and overall framework you must
master if your data-intensive projects are to be successful. If
you're already an experienced database programmer, administrator,
analyst, or user, it will let you take a step back from your work
and examine the founding principles on which you rely every
day-helping you to work smarter, faster, and problem-free.
Whatever your field or level of expertise, Data and Databases
offers you the depth and breadth of vision for which Celko is
famous. No one knows the topic as well as he, and no one conveys
this knowledge as clearly, as effectively-or as engagingly. Filled
with absorbing war stories and no-holds-barred commentary, this is
a book you'll pick up again and again, both for the information it
holds and for the distinctive style that marks it as genuine
The chapters of this book provide an excellent snapshot of current research and development activities in the area of query processing and optimization. They supply potential answers to many questions that have been raised for new types of database systems and at the same time reflect the variety of the different approaches taken. The book acts both as a reference for the state of the art in query processing for the "next generation" of database systems, and as a good starting point for anybody interested in understanding the challenging questions in the area. Furthermore, the book will help the reader to gain an in-depth understanding of why efficient query processing is needed for future database systems.
This book develops a theory for transactions that provides practical solutions for system developers, focusing on the interface between the user and the database that executes transactions. Atomic transactions are a useful abstraction for programming concurrent and distributed data processing systems. Presents many important algorithms which provide maximum concurrency for transaction processing without sacrificing data integrity. The authors include a well-developed data processing case study to help readers understand transaction processing algorithms more clearly. The book offers conceptual tools for the design of new algorithms, and for devising variations on the familiar algorithms presented in the discussions. Whether your background is in the development of practical systems or formal methods, this book will offer you a new way to view distributed systems.
SQL is the way to develop, program, and use database applications. SQL-92 is a major advance over earlier versions, offering the first complete SQL language. DB programmers will have the advantage of knowing that applications written in SQL-92 will be portable to all hardware platforms for many years to come. As the editor of the new standard, Jim Melton is an authority on the language and its new features. Using a highly readable, conversational style, the authors clearly present the power of SQL. They describe practical methods of using SQL to solve problems, advanced SQL query expressions, dynamic SQL, transaction models, and database design. Beginning with a tutorial on basic relational database concepts, subsequent chapters develop SQL and clarify the differences between SQL-89 and SQL-92. Throughout, a retail video and music store is used as an example that develops with the SQL presentation. The book is enhanced by a complete dynamic SQL example, coverage of international character sets, and a look at future generations of SQL. Whether you're a newcomer to SQL or an experienced programmer using PCs, workstations, mini- or mainframes, Understanding the New SQL is an essential resource for current and future implementation of SQL.
Information science is the study of information phenomena,
including the acquisition, storage, and manipulation of data,
information, and knowledge. It is by nature an interdisciplinary
field. Researchers, managers, system users, and students need
access to tools, terms, and techniques that are spread out over a
large literature in a number of different disciplines: information
retrieval, database management, office information systems,
information technology, communication and networking, relevant
computer hardware, and artificial intelligence.
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