Hardback (ISBN-13: 9780521836579 | ISBN-10: 0521836573)
Text mining is a new and exciting area of computer science
research that tries to solve the crisis of information overload
by combining techniques from data mining, machine learning,
natural language processing, information retrieval, and knowledge
management. Similarly, link detection - a rapidly evolving
approach to the analysis of text that shares and builds upon many
of the key elements of text mining - also provides new tools for
people to better leverage their burgeoning textual data resources.
The Text Mining Handbook presents a comprehensive discussion of
the state-of-the-art in text mining and link detection. In
addition to providing an in-depth examination of core text mining
and link detection algorithms and operations, the book examines
advanced pre-processing techniques, knowledge representation
considerations, and visualization approaches. Finally, the book
explores current real-world, mission-critical applications of
text mining and link detection in such varied fields as M&A
business intelligence, genomics research and counter-terrorism
activities.
* The first comprehensive compilation of algorithms,
methodologies, practical approaches and applications
* Co-authored by one of the founding figures in the field of text
mining
* Detailed description of core text mining algorithms for
identifying patterns such as frequent sets, distributions and
proportions and associations
Contents
1. Introduction to text mining; 2. Core text mining operations; 3.
Text mining preprocessing techniques; 4. Categorization; 5.
Clustering; 6. Information extraction; 7. Probabilistic models
for Information extraction; 8. Preprocessing applications using
probabilistic and hybrid approaches; 9. Presentation-layer
considerations for browsing and query refinement; 10.
Visualization approaches; 11. Link analysis; 12. Text mining
applications; Appendix; Bibliography.
Series: Cambridge Monographs on Applied and Computational
Mathematics (No. 21)
Hardback (ISBN-13: 9780521792110 | ISBN-10: 0521792118)
Spectral methods are well-suited to solve problems modeled by
time-dependent partial differential equations: they are fast,
efficient and accurate and widely used by mathematicians and
practitioners. This class-tested introduction, the first on the
subject, is ideal for graduate courses, or self-study. The
authors describe the basic theory of spectral methods, allowing
the reader to understand the techniques through numerous examples
as well as more rigorous developments. They provide a detailed
treatment of methods based on Fourier expansions and orthogonal
polynomials (including discussions of stability, boundary
conditions, filtering, and the extension from the linear to the
nonlinear situation). Computational solution techniques for
integration in time are dealt with by Runge-Kutta type methods.
Several chapters are devoted to material not previously covered
in book form, including stability theory for polynomial methods,
techniques for problems with discontinuous solutions, round-off
errors and the formulation of spectral methods on general grids.
These will be especially helpful for practitioners.
* Ideal for both graduate students and practitioners, including
both basic theory and more rigorous developments
* Written from material which has been thoroughly and
successfully class-tested by experienced authors
* No other text in print deals with this topic at a fundamental
level and it includes material never before covered in book form
Contents
Introduction; 1. From local to global approximation; 2.
Trigonometric polynomial approximation; 3. Fourier spectral
methods; 4. Orthogonal polynomials; 5. Polynomial expansions; 6.
Polynomial approximations theory for smooth functions; 7.
Polynomial spectral methods; 8. Stability of polynomial spectral
methods; 9. Spectral methods for non-smooth problems; 10.
Discrete stability and time integration; 11. Computational
aspects; 12. Spectral methods on general grids; Bibliography.
Hardback (ISBN-13: 9780521871723 | ISBN-10: 0521871727)
Paperback (ISBN-13: 9780521692694 | ISBN-10: 0521692695)
Haskell is one of the leading languages for teaching functional
programming, enabling students to write simpler and cleaner code,
and to learn how to structure and reason about programs. This
introduction is ideal for beginners: it requires no previous
programming experience and all concepts are explained from first
principles via carefully chosen examples. Each chapter includes
exercises that range from the straightforward to extended
projects, plus suggestions for further reading on more advanced
topics. The author is a leading Haskell researcher and
instructor, well-known for his teaching skills. The presentation
is clear and simple, and benefits from having been refined and
class-tested over several years. The result is a text that can be
used with courses, or for self-learning. Features include freely
accessible Powerpoint slides for each chapter, solutions to
exercises and examination questions (with solutions) available to
instructors, and a downloadable code that's fully compliant with
the latest Haskell release.
* Fully compliant with recently published definition of Haskell,
and the first new textbook since this has been completed
* Powerpoint slides for each chapter freely available on the web
* Instructors can obtain solutions to each chapter's exercises,
together with a large collection of exam questions (and their
solutions) via www.cambridge.org/9780521692694
Contents
Preface; 1. Introduction; 2. First steps; 3. Types and classes; 4.
Defining functions; 5. List comprehensions; 6. Recursive
functions; 7. Higher-order functions; 8. Functional parsers; 9.
Interactive programs; 10. Declaring types and classes; 11. The
countdown problem; 12. Lazy evaluation; 13. Reasoning about
programs; Appendix A: a standard prelude; Appendix B: symbol
table; Bibliography; Index.
Series: Cambridge Studies in Advanced Mathematics (No. 4)
Paperback (ISBN-13: 9780521032872 | ISBN-10: 0521032873)
This is an introduction to p-adic analysis which is elementary
yet complete and which displays the variety of applications of
the subject. Dr Schikhof is able to point out and explain how p-adic
and 'real' analysis differ. This approach guarantees the reader
quickly becomes acquainted with this equally 'real' analysis and
appreciates its relevance. The reader's understanding is enhanced
and deepened by the large number of exercises included
throughout; these both test the reader's grasp and extend the
text in interesting directions. As a consequence, this book will
become a standard reference for professionals (especially in p-adic
analysis, number theory and algebraic geometry) and will be
welcomed as a textbook for advanced students of mathematics
familiar with algebra and analysis.
Contents
Frontispiece; Preface; Part I. Valuations: 1. Valuations; 2.
Ultrametrics; Part II. Calculus: 3. Elementary calculus; 4.
Interpolation; 5. Analytic functions; Part III. Functions on Zp:
6. Mahler's base and p-adic integration; 7. The p-adic gamma and
zeta functions; 8. van der Put's base and antiderivation; Part IV.
More General Theory of Functions: 9. Continuity and
differentiability; 10. Cn -theory; 11. Monotone functions;
Appendixes; Further reading; Notation; Index.