Books Published
INSIGHTS INTO WAVELETS: FROM THEORY TO PRACTICE
Dr. Soman K. P., Dr. Ramachandran K. I.
Published By: Prentice-Hall of India
Pages: 308
ISBN: 81-203-2650-4
5th Printing
Price: Rs. 295.00
About the Book
The rapid growth of the theory of wavelets and
their application in diverse areas, ranging from oil exploration to
bioinformatics and astrophysics-has made it imperative that
engineers and scientists working in these areas have a working
knowledge of wavelets. In the past few years, the study of wavelets
and the exploration of the principles governing their behaviour have
brought about sweeping changes in the disciplines of pure and
applied mathematics and sciences.
Keeping this in mind, the
authors have specifically written this comprehensive text to fulfill
the curriculum requirements of a course on wavelets. It offers an
introduction to wavelet analysis, in an easy-to-understand style,
without mathematical rigour. Beginning with a description of the
origin of wavelets and a discussion on the recent developments, the
book moves on to explain the basic concepts in Fourier series,
continuous wavelet transform, discrete wavelet transform, lifting
scheme and applications of wavelets in image compression, signal
denoising and computer graphics.
Intended primarily as a
textbook for the postgraduate students of computer science,
electrical/electronics and communication engineering, this book
would also be useful for the practising engineers and
researchers.
INSIGHTS INTO DATAMINING:
FROM THEORY TO PRACTICE
Dr. Soman K. P., Shyam Diwakar, V. Ajay
Published By: Prentice-Hall of India
Pages: 420
ISBN: 81-203-2897-3
Price: Rs. 350.00
About the Book
Data Mining is an emerging technology that has made
its way into science, engineering, commerce and industry as many
existing inference methods are obsolete for dealing with massive
datasets that get accumulated in data warehouses.
This
comprehensive and up-to-date text aims at providing the reader with
sufficient information about data mining methods and algorithms so
that they can make use of these methods for solving real-world
problems. The authors have taken care to include most of the widely
used methods in data mining with simple examples so as to make this the
ideal text for classroom learning. To make the theory more
comprehensible to the students, many illustrations have been used,
and these, in turn, explain how certain parameters of interest change
as the algorithm proceeds.
COMPUTATIONAL CHEMISTRY AND MOLECULAR MODELING
Dr. Ramachandran K. I., Dr. Deepa G., Krishnan Namboodiri
Published By: Springer Publications
Pages: 490
ISBN: 978-3-540-77302-3
About the Book
The gap between introductory level textbooks and highly specialized monographs is filled by this modern textbook. It provides, in one comprehensive volume, the indepth theoretical background for molecular modeling and detailed descriptions of applications in chemistry and related fields like drug design, molecular sciences, biomedical, polymer and materials engineering. Special chapters on basic mathematics and the use of respective software tools are included. Numerous numerical examples, exercises and explanatory illustrations as well as a web site with application tools support students and lecturers.
BIOINFORMATICS: SEQUENTIAL AND STRUCTURAL ANALYSIS
Dr. Deepa G., Krishnan Namboodiri
Published By: Narosa Publications
Pages: 450
ISBN: 978-81-7319-928-8
About the Book
Bioinformatics, the application of computers in biological sciences and especially analysis of biological sequence data, is becoming an essential tool in molecular biology as genome projects generate vast quantities of data. With new sequences being added to DNA databases, on average, there is a vital requisite to convert this information into biochemical and biophysical knowledge by explaining the structural, functional of biological sequences.
This book begins by introducing the most popular databases (protein and nucleic acid), information resources and analysis methods (sequence alignment and pattern recognition) currently available, providing the basis for readers to progress to hands-on practical sequence analysis. It explains some basic algorithms in bioinformatics to readers who have exposure to computer science, mathematics and statistics. The text also explains the structural bioinformatics that lies at the interface of structural biology and informatics, each of which derive their principles from highly interdisciplinary areas that go beyond traditional bioinformatics knowledge.
MACHINE LEARNING WITH SVM AND OTHER KERNEL METHODS
Dr. Soman K. P., Loganathan R., V. Ajay
Published By: Prentice-Hall of India
Pages: 496
ISBN: 978-81-203-3435-9
Price: Rs. 425.00
About the Book
Support vector machines (SVMs) represent a
breakthrough in the theory of learning systems. This is a new
generation of learning algorithms based on recent advances in
statistical learning theory.
Designed for the undergraduate
students of computer science and engineering, this book provides a
comprehensive introduction to the state-of-the-art algorithms and
techniques in this field. It covers most of the well known
algorithms supplemented with code and data. One-class, multi-class
and hierarchical SVMs are included, which will help students to
solve any pattern classification problems with ease and that too, in
Excel.