|
Books > Science & Mathematics > General
2. Each chapter opens with necessary definitions and complete
proofs of the standard theorems and results. These in turn are
followed by solved examples which have been classified in various
types and methods. This classification will help the students to
revise the subject matter at the time of examination without losing
any confidence. 3. Care has been taken not to omit even a minor
step so that the students can understand everything without the
guidance of a teacher. Hence even an average student will be able
to grasp the subject matter easily. Furthermore, the problems have
been graded in every chapter to instill confidence in the students.
4. Up-to-date yearwise reference of various examination papers have
been given throughout the book. 5. At the end of each chapter
objective type questions have been given in keeping with the latest
trend of question papers. 6. This book serves as a suitable
textbook, help book, reference book and question bank for all
examinations.
Practical Applications Of Data Mining Emphasizes Both Theory And
Applications Of Data Mining Algorithms. Various Topics Of Data
Mining Techniques Are Identified And Described Throughout,
Including Clustering, Association Rules, Rough Set Theory,
Probability Theory, Neural Networks, Classification, And Fuzzy
Logic. Each Of These Techniques Is Explored With A Theoretical
Introduction And Its Effectiveness Is Demonstrated With Various
Chapter Examples. This Book Will Help Any Database And IT
Professional Understand How To Apply Data Mining Techniques To
Real-World Problems. Following An Introduction To Data Mining
Principles, Practical Applications Of Data Mining Introduces
Association Rules To Describe The Generation Of Rules As The First
Step In Data Mining. It Covers Classification And Clustering
Methods To Show How Data Can Be Classified To Retrieve Information
From Data. Statistical Functions And Drough Set Theory Are
Discussed To Demonstrate How Statistical And Rough Set Formulas Can
Be Used For Data Analytics And Knowlege Discovery. Neural Networks
Is An Important Branch In Computational Intelligence. It Is
Introduced And Explored In The Text To Investigate The Role Of
Neural Network Algorithms In Data Analytics.
This book contains a plethora of different viewpoints and research
results from all over the world, bringing them together to provide
a global perspectiveon the various issues that comprise "open
access." Topics include copyright, best practices and management,
open access and society, repositories, journals, publications and
publishing, services and technology, quality andevaluation. The
book offers a holistic focus on open access and can serve as a
useful learning tool for students and professionals.
that it is difficult for us to realize that their general
acceptance in the transactions of commerce is a matter of only the
last four centuries, and that they are unknown to a very large part
of the human race today. It seems strange that such a laborsaving
device should have struggled for nearly a thousand years after its
system of place value was perfected before it replaced such crude
notations as the one that the Roman conqueror made sustantially
universal in Europe. Such, however, is the case, and there is
probable no one who has not at least some slight passing interest
in the story of this struggle. To the mathema tician and the
student of civilization the interest is generally a deep one; to
the teacher of the elements of knowlendge the interest may be less
marked. This story has often been told in part, but it is a long
time since any effort has been made to bring together the
fragmentary narrations and to set forth the general problem of the
origin and development of these numerals. In this little work the
author has attempted to state the history of these forms in small
compass, to place before the student materials for the
investigation of the problems involved, and to express as clearly
as possible the results of the labors of scholars who have studied
the subject in different parts of the World.
This title features: Introduction Frequency distribution and
measures of location, measures of dispersions, skewness &
kurtosis moments of frequency distributions; Theory of probability;
Discrete probability distributions; Special discrete probability
distributions; Univariate continuous probability distributions;
Special continuous probability distributions; Principle of least
squares, fittings of curves & orthangonal polynomeals;
Correlation and regression; Multiple and partial correlation;
Theory of sampling; Exact sampling distributions; Tests of
significance based on the T,F and Z distributions; Tests of
significance based on the chi- square distribution; Statistical
theory of point estimation; Testing of hypotheses, sequential
analysis distribution; Free methods, statistical decision theory;
Elements of stochastic processes orderstatistics; Appendices;
Index; and, log tables.
Culture Media for Bacterial Growth, Plant Tissue Culture and
Standard Solutions has been given in simple and easy-to-follow
language. The biotechnology exercises such as Plasmid and DNA
isolation, DNA size determination, Restriction digestion, PCR, Gus
gene assay, RFLP, RAPD, Isolation of bacteria by streak and Pour
plate method, Growth characteristics of E.Coli by Plating and
Turbidimetric method and the plant tissues culture exercises such
as Cell suspension culture, Androgenesis, Somatic embryogenesis,
Preparation of plantlet to greenhouse field, have been given in a
student friendly manner. Matter for Viva-voce has also been
included.
|
|