Distributed Algorithms
Nancy Lynch
ISBN: 978-1-55860-348-6
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... [more]
Physical Database Design:
the database professional's guide to exploiting indexes, views,
storage, and more
Sam Lightstone
Toby Teorey
Tom Nadeau
ISBN: 978-0-12-369389-1
The rapidly increasing volume
of information contained in relational databases places a strain
on databases, performance, and maintainability: DBAs are under
greater pressure than ever to optimize database structure for system
performance and administration.
Physical Database Design discusses the concept of how physical
structures of databases affect performance, including specific
examples, guidelines, and best and worst practices for a variety
of DBMSs and configurations. Something as simple as improving the
table index design has a profound impact on performance. Every
form of relational database, such as Online Transaction Processing
(OLTP), Enterprise Resource Management (ERP), Data Mining (DM),
or Management Resource Planning (MRP), can be improved using the
methods provided in the book... [more]
Database Modeling and Design: Logical Design,
4th Edition
Toby Teorey
Sam Lightstone
Tom Nadeau
ISBN: 978-0-12-685352-0
An ideal text for a stand-alone
data management course focused on logical database design, or a
supplement to an introductory text for introductory database management.
This extensively revised fourth edition features clear explanations,
lots of terrific examples and an illustrative case, and practical
advice, with design rules that are applicable to any SQL-based
system. The common examples are based on real-life experiences
and have been thoroughly class-tested... [more]
Temporal Data and the Relational Model: A Detailed Investigation
into the Application of Interval and Relation Theory to the Problem
of Temporal Database Management
C.J. Date
Hugh Darwen
Nikos A. Lorentzos
ISBN: 978-1-558-60855-9
Temporal database systems are systems that provide special support
for storing, querying, and updating historical and/or future data.
Current DBMSs provide essentially no temporal features at all,
but this situation is likely to change soon for a variety of reasons;
in fact, temporal databases are virtually certain to become important
sooner rather than later, in the commercial world as well as in
academia. This book provides an in-depth description of the foundations
and principles on which those temporal DBMSs will be built. These
foundations and principles are firmly rooted in the relational
model of data; thus, they represent an evolutionary step, not a
revolutionary one, and they will stand the test of time... [more]
Data Modeling Essentials, 3rd Edition
Graeme Simsion
Graham Witt
ISBN: 978-0-12-644551-0
A one-of-a-kind text, Data
Modeling Essentials covers the basics of data modeling while focusing
on developing a facility in techniques, rather than a simple familiarization
with “the rules”.
In order to enable students to apply the basics of data modeling
to real models, the authors address the realities of developing
systems in real-world situations, by covering the merits of a variety
of possible solutions as well as using language and diagramming
methods that represent industry practice... [more]
Information Modeling and Relational Databases, 2nd Edition
Terry
Halpin
Tony Morgan
ISBN: 978-0-12-373568-3
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... [more]
Foundations of Multidimensional And Metric Data Structures
Hanan
Samet
ISBN: 978-0-123-69446-1
He is considered the world authority on this subject. His first
book on this subject is a well known reference in the field...I
strongly encourage you to publish and heavily promote this book." —Dinesh
Minocha, Univ of NC
"To summarize: This book is excellent! a very comprehensive
survey of spatial and multi-dimensional data structures and algorithms,
which is badly needed. The breadth and depth of coverage is astounding
and I would consider several parts of it to be required reading
for real-time graphics and game developers." —Bretton Wade,
Univ of Washington and Microsoft Corp... [more]
DW 2.0: The Architecture for the Next Generation of Data Warehousing
W.H.
Inmon
Derek Strauss
Genia Neushloss
ISBN: 978-0-12-374319-0
Data Warehousing has been around
for 20 years and has become part of the information technology
infrastructure. Data warehousing originally grew in response to
the corporate need for information--not data--and it supplies integrated,
granular, and historical data to the corporation.
There are many kinds of data warehouses, in large part due to
evolution and different paths of software and hardware vendors.
But DW 2.0, defined by this author in many talks, articles, and
his b-eye-network newsletter that reaches 65,000 professionals
monthly, is the well-identified and defined next generation data
warehouse... [more]
Oracle Performance Tuning for 10gr2,
2nd Edition
Powell
ISBN: 978-1-555-58345-3
Tuning of SQL code is generally cheaper than changing the data
model. Physical and configuration tuning involves a search for
bottlenecks that often points to SQL code or data model issues.
Building an appropriate data model and writing properly performing
SQL code can give 100%+ performance improvement. Physical and configuration
tuning often gives at most a 25% performance increase.
Gavin Powell shows that the central theme of Oracle10gR2
Performance Tuning is four-fold: denormalize data models to fit applications;
tune SQL code according to both the data model and the application
in relation to scalability; create a well-proportioned physical
architecture at the time of initial Oracle installation; and most
important, mix skill sets to obtain the best results... [more]
SQL: Practical Guide for Developers
Michael Donahoo
Gregory Speegle
ISBN: 978-0-12-220531-6
Developed by authors who needed
a good resource for students in their database class, this is an
ideal supplement for your database courses—no matter what
main text you use or what flavor of SQL is required.
Features:
• A short and inexpensive introduction to SQL for students
who have some programming experience and need to learn the main
features of SQL.• Suggested shortcuts for learning and practice,
depending on the experience of the user.• Student resources
available online.... [more]
Data Mining,
Second Edition: Concepts and Techniques, 2nd Edition
Jiawei Han
Micheline Kamber
ISBN: 978-1-55860-901-3
Highly anticipated second edition of the definitive text on data
mining.
"This book is a "must have" for all instructors,
researchers, developers and users in the area of data mining and
knowledge discovery."
—Hans-Peter Kriegel, University of Munich, Germany
"The second edition of Han and Kamber Data Mining:
Concepts and Techniques updates and improves the already
comprehensive coverage of the first edition and adds coverage
of new and important topics, such as mining stream data, mining
social networks, and mining spatial, multi-media and other complex
data. This book will be an excellent textbook for courses on
Data Mining and Knowledge Discovery."
—Gregory Piatetsky-Shapiro, President, KDnuggets... [more]
Java Data Mining: Strategy, Standard, and Practice: A Practical
Guide for architecture, design, and implementation
Mark F. Hornick
Erik Marcadé
Sunil Venkayala
ISBN: 978-0-123-70452-8
Whether you are a software developer, systems architect, data
analyst, or business analyst, if you want to take advantage of
data mining in the development of advanced analytic applications,
Java Data Mining, JDM, the new standard now implemented in core
DBMS and data mining/analysis software, is a key solution component.
This book is the essential guide to the usage of the JDM standard
interface, written by contributors to the JDM standard.... [more]
Data Mining: Practical Machine Learning Tools and Techniques,
2nd Edition
Ian Witten
Eibe Frank
ISBN: 978-0-12-088407-0
"This book presents this discipline in a very accessible
form, both as a text to train the next generation of practitioners
and researchers, and to inform lifelong learners like myself. Witten
and Frank have a passion for simple and elegant solutions. They
approach each topic with this mindset, grounding all concepts in
concrete examples, and urging the reader to consider the simple
techniques first, and then progress to the more sophisticated ones
if the simple ones prove inadequate. If you have data that you
want to analyze and understand, this book and the associated Weka
toolkit are an excellent way to start." —Jim Gray, Microsoft
Research.... [more]
Data Preparation for Data Mining Using SAS
Mamdouh Refaat
ISBN: 978-0-123-73577-5
Are you a data mining analyst, who spends up to 80% of your time
assuring data quality, then preparing that data for developing
and deploying predictive models? And do you find lots of literature
on data mining theory and concepts, but when it comes to practical
advice on developing good mining views find little “how to” information?
And are you, like most analysts, preparing the data in SAS?
This book is intended to fill this gap as your source of practical
recipes. It introduces a framework for the process of data preparation
for data mining, and presents the detailed implementation of each
step in SAS. In addition, business applications of data mining
modeling require you to deal with a large number of variables,
typically hundreds if not thousands. Therefore, the book devotes
several chapters to the methods of data transformation and variable
selection.... [more]
Fuzzy
Modeling and Genetic Algorithms for Data Mining and Exploration
Earl Cox
ISBN: 978-0-121-94275-5
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.
You don’t need a background in fuzzy modeling or genetic
algorithms to benefit, for this book provides it, along with detailed
instruction in methods that you can immediately put to work in
your own projects. The author provides many diverse examples and
also an extended example in which evolutionary strategies are used
to create a complex scheduling system.... [more]
Bioinformatics: Managing Scientific Data
Zoé Lacroix
Terence Critchlow
ISBN: 978-1-558-60829-0
Life science data integration and interoperability is one of the
most challenging problems facing bioinformatics today. In the current
age of the life sciences, investigators have to interpret many
types of information from a variety of sources: lab instruments,
public databases, gene expression profiles, raw sequence traces,
single nucleotide polymorphisms, chemical screening data, proteomic
data, putative metabolic pathway models, and many others. Unfortunately,
scientists are not currently able to easily identify and access
this information because of the variety of semantics, interfaces,
and data formats used by the underlying data sources.
Bioinformatics: Managing Scientific Data tackles
this challenge head-on by discussing the current approaches and
variety of systems available to help bioinformaticians with this
increasingly complex issue. The heart of the book lies in the collaboration
efforts of eight distinct bioinformatics teams that describe their
own unique approaches to data integration and interoperability... [more]
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