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This book provides a systematic progression from the legacy
networks of the past to the Next Generation Convergent networks of
the future. The books aims at providing complete background and
relevant details that are required to plan, design and deploy
modern day core/backbone telecommunication networks. This is book
would be useful to individuals associated with most of the areas of
the vast telecom as well as data networking spectrum including
planning, engineering, network management & operations,
installation and commissioning as well as operations and
maintenance, besides any knowledge seeker
The modern day organizational landscape is witnessing rapid
changes, both in its structure and management. Managing its
intangible assets is of paramount importance to an organization
irrespective of its size, sector or domain, to enable it withstand
the rigors of the current global economies. Only organizations that
have a well defined and integrated Competency Management Framework
would be able to successfully survive and compete in the knowledge
economies of the future. This book introduces the basis terms,
terminologies, processes associated with organizational competency
management.
The deployment of Data Warehouses as a business application has
grown tremendously over the past decade. Data warehouses are today
considered to be one of the key components of an organizations
overall IT strategy and architecture. This is especially true in
the current Knowledge based global economy. Innovation and
creativity is the current buzzword as business enterprises struggle
to retain their stranglehold and find new markets for their
products or services. Data warehouses are being developed and
deployed for all businesses irrespective of its size and nature.
Foreseeing a huge growth potential major hardware and software
vendors, across the world, have quickly developed products and
services specifically targeting the data warehousing market. The
objective of this book is to provide the reader with an insight to
the world of Data Warehousing, in a lucid manner devoid of
mathematical complications.
Data mining is the computational process of discovering patterns in
large data sets with the objective of extracting information and
transforming it into an understandable structure for further use.
Data mining involves data and database management, pre-processing
techniques, model and inference considerations alongwith
post-processing of uncovered structures, data visualization, and
online updation. Data Mining and Knowledge Discovery in Databases
are terms that are generally used interchangeably. The other terms
referring to data mining are data or information harvesting,
archeology, functional dependency analysis, knowledge extraction
and data pattern analysis. Data Mining is used to identify
potential knowledge from seemingly plain data sets. This book
provides a solid foundation over which the pillars of advanced
mining techniques can be built on. The book commences with an
introduction to the basic concepts and terminologies related to
data mining. The detailed architecture of data mine, the challenges
in handling erroneous data, data mining process as well as the data
mining tools are also presented subsequently.
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