Saturday, 31 January 2015
Monday, 26 August 2013
Rough set data analysis: A road to non-invasive knowledge discovery by Ivo Düntsch, Günther Gediga Publisher: Methodos Publishers (UK) 2000 ISBN/ASIN: 190328001X ISBN-13: 9781903280010 Number of pages: 108
Description:
This is not the first book on rough set analysis and certainly not the first book on knowledge discovery algorithms, but it is the first attempt to do this in a non-invasive way. In this book the authors present an overview of the work they have done in the past seven years on the foundations and details of data analysis. It is a look at data analysis from many different angles, and the authors try not to be biased for - or against - any particular method. This book reports the ideas of the authors, but many citations of papers on Rough Set Data Analysis in knowledge discovery by other research groups are included as well.
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This is not the first book on rough set analysis and certainly not the first book on knowledge discovery algorithms, but it is the first attempt to do this in a non-invasive way. In this book the authors present an overview of the work they have done in the past seven years on the foundations and details of data analysis. It is a look at data analysis from many different angles, and the authors try not to be biased for - or against - any particular method. This book reports the ideas of the authors, but many citations of papers on Rough Set Data Analysis in knowledge discovery by other research groups are included as well.
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Concrete Abstractions: An Introduction to Computer Science Using Scheme by Max Hailperin, Barbara Kaiser, Karl Knight Publisher: Course Technology 1998 ISBN/ASIN: 0534952119 ISBN-13: 9780534952112 Number of pages: 670
Description:
This text covers the basics of programming and data structures, and gives first-time computer science students the opportunity to not only write programs, but to prove theorems and analyze algorithms as well.
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This text covers the basics of programming and data structures, and gives first-time computer science students the opportunity to not only write programs, but to prove theorems and analyze algorithms as well.
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Common LISP: A Gentle Introduction to Symbolic Computation by David S. Touretzky Publisher: Benjamin-Cummings Pub Co 1990 ISBN/ASIN: 0805304924 ISBN-13: 9780805304923 Number of pages: 587
Description:
This book is about learning to program in Lisp. Although widely known as the principal language of artificial intelligence research—one of the most advanced areas of computer science—Lisp is an excellent language for beginners. It is increasingly the language of choice in introductory programming courses due to its friendly, interactive environment, rich data structures, and powerful software tools that even a novice can master in short order.
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This book is about learning to program in Lisp. Although widely known as the principal language of artificial intelligence research—one of the most advanced areas of computer science—Lisp is an excellent language for beginners. It is increasingly the language of choice in introductory programming courses due to its friendly, interactive environment, rich data structures, and powerful software tools that even a novice can master in short order.
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How to think like a Computer Scientist (C++ Version) by Allen B. Downey 1999 ISBN/ASIN: 1441419055 Number of pages: 189
Description:
The goal of this book is to teach you to think like a computer scientist. I like the way computer scientists think because they combine some of the best features of Mathematics, Engineering, and Natural Science. Like mathematicians, computer scientist use formal languages to denote ideas (specifically compuations). Like engineers, they design things, assembling components into systems and evaluating tradeoffs among alternatives. Like scientists, they observe the behavior of complex systems, form hypotheses, and test predictions.
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The goal of this book is to teach you to think like a computer scientist. I like the way computer scientists think because they combine some of the best features of Mathematics, Engineering, and Natural Science. Like mathematicians, computer scientist use formal languages to denote ideas (specifically compuations). Like engineers, they design things, assembling components into systems and evaluating tradeoffs among alternatives. Like scientists, they observe the behavior of complex systems, form hypotheses, and test predictions.
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Introduction to Computer Science using Java by Bradley Kjell Publisher: Central Connecticut State University 2006
Description:
This is a first course in Computer Science using the programming language Java. It covers the fundamentals of programming and of computer science. These notes assume that you have the Java version 5.0 or later from Sun Microsystems, Inc. at java.sun.com and a text editor such as Notepad. They may be used with more sophisticated environments, as well.
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This is a first course in Computer Science using the programming language Java. It covers the fundamentals of programming and of computer science. These notes assume that you have the Java version 5.0 or later from Sun Microsystems, Inc. at java.sun.com and a text editor such as Notepad. They may be used with more sophisticated environments, as well.
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Concepts, Techniques, and Models of Computer Programming by Peter Van Roy, Seif Haridi Publisher: The MIT Press 2004 ISBN/ASIN: 0262220695 ISBN-13: 9780262220699 Number of pages: 939
Description:
This innovative text presents computer programming as a unified discipline in a way that is both practical and scientifically sound. The book focuses on techniques of lasting value and explains them precisely in terms of a simple abstract machine. The book presents all major programming paradigms in a uniform framework that shows their deep relationships and how and where to use them together. After an introduction to programming concepts, the book presents both well-known and lesser-known computation models ("programming paradigms"). Each model has its own set of techniques and each is included on the basis of its usefulness in practice. The general models include declarative programming, declarative concurrency, message-passing concurrency, explicit state, object-oriented programming, shared-state concurrency, and relational programming. Specialized models include graphical user interface programming, distributed programming, and constraint programming. Each model is based on its kernel language -- a simple core language that consists of a small number of programmer- significant elements. The kernel languages are introduced progressively, adding concepts one by one, thus showing the deep relationships between different models. The kernel languages are defined precisely in terms of a simple abstract machine. Because a wide variety of languages and programming paradigms can be modeled by a small set of closely related kernel languages, this approach allows programmer and student to grasp the underlying unity of programming. The book has many program fragments and exercises, all of which can be run on the Mozart Programming System, an Open Source software package that features an interactive incremental development environment.
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This innovative text presents computer programming as a unified discipline in a way that is both practical and scientifically sound. The book focuses on techniques of lasting value and explains them precisely in terms of a simple abstract machine. The book presents all major programming paradigms in a uniform framework that shows their deep relationships and how and where to use them together. After an introduction to programming concepts, the book presents both well-known and lesser-known computation models ("programming paradigms"). Each model has its own set of techniques and each is included on the basis of its usefulness in practice. The general models include declarative programming, declarative concurrency, message-passing concurrency, explicit state, object-oriented programming, shared-state concurrency, and relational programming. Specialized models include graphical user interface programming, distributed programming, and constraint programming. Each model is based on its kernel language -- a simple core language that consists of a small number of programmer- significant elements. The kernel languages are introduced progressively, adding concepts one by one, thus showing the deep relationships between different models. The kernel languages are defined precisely in terms of a simple abstract machine. Because a wide variety of languages and programming paradigms can be modeled by a small set of closely related kernel languages, this approach allows programmer and student to grasp the underlying unity of programming. The book has many program fragments and exercises, all of which can be run on the Mozart Programming System, an Open Source software package that features an interactive incremental development environment.
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Foundations of Computer Science by Lawrence C Paulson Publisher: University of Cambridge 2000 Number of pages: 155
Description:
This text teaches programming and presents some fundamental principles of computer science, especially algorithm design. The programming in this course is based on the language ML and mostly concerns the functional programming style. The course also covers basic methods for estimating efficiency.
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This text teaches programming and presents some fundamental principles of computer science, especially algorithm design. The programming in this course is based on the language ML and mostly concerns the functional programming style. The course also covers basic methods for estimating efficiency.
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A Balanced Introduction to Computer Science by David Reed Publisher: Prentice Hall 2004 ISBN/ASIN: 013046709X ISBN-13: 9780130467096 Number of pages: 400
Description:
The book covers concepts and issues in computing that are most relevant to the beginning student, including computer terminology, the Internet and World Wide Web, the history of computing, the organization and manufacture of computer technology, and technology's impact on society. Mixed among these breadth topics are chapters that introduce fundamental programming concepts and skills in a hands-on, tutorial format.
The book covers concepts and issues in computing that are most relevant to the beginning student, including computer terminology, the Internet and World Wide Web, the history of computing, the organization and manufacture of computer technology, and technology's impact on society. Mixed among these breadth topics are chapters that introduce fundamental programming concepts and skills in a hands-on, tutorial format.
GRE Computer Science Test Practice Book Publisher: Educational Testing Service 2004 Number of pages: 53
Description:
This free GRE practice book contains one actual, full-length GRE Computer Science Test and test-taking strategies. You can become familiar with test structure, content, test instructions and answering procedures. The test consists of about 70 multiple-choice questions, some of which are grouped in sets and based on such materials as diagrams, graphs, and program fragments.
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This free GRE practice book contains one actual, full-length GRE Computer Science Test and test-taking strategies. You can become familiar with test structure, content, test instructions and answering procedures. The test consists of about 70 multiple-choice questions, some of which are grouped in sets and based on such materials as diagrams, graphs, and program fragments.
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Computer Science: Abstraction to Implementation by Robert M. Keller Publisher: Harvey Mudd College 2001 Number of pages: 627
Description:
This book is intended for a broad second course in computer science, one emphasizing principles wherever it seems possible at this level. While this course builds and amplifies what the student already knows about programming, it is not limited to programming. Instead, it attempts to use various programming models to explicate principles of computational systems.
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This book is intended for a broad second course in computer science, one emphasizing principles wherever it seems possible at this level. While this course builds and amplifies what the student already knows about programming, it is not limited to programming. Instead, it attempts to use various programming models to explicate principles of computational systems.
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Foundations of Computer Science: C Edition by Al Aho, Jeff Ullman Publisher: W. H. Freeman 1994 ISBN/ASIN: 0716782847 ISBN-13: 9780716782841 Number of pages: 786
Description:
Aho and Ullman have created a C version of their groundbreaking text. As in that text, this book combines the theoretical foundations of computing with essential discrete mathematics. It follows the same organizations as its predecessor, with all examples and exercises in C.
Aho and Ullman have created a C version of their groundbreaking text. As in that text, this book combines the theoretical foundations of computing with essential discrete mathematics. It follows the same organizations as its predecessor, with all examples and exercises in C.
Introduction to Logic in Computing Science by H. James Hoover, Piotr Rudnicki Publisher: University of Alberta 2002
Number of pages: 205
Description:
The goal of this course is to introduce you to the logical and mathematical tools for reasoning about algorithms. Being able to effectively use these tools makes the difference between being a programming hack and a computing scientist.
The goal of this course is to introduce you to the logical and mathematical tools for reasoning about algorithms. Being able to effectively use these tools makes the difference between being a programming hack and a computing scientist.
Mathematical Foundations of Computer Science by Susan Rodger Publisher: Duke University 1998
Description:
These lecture notes present an introduction to theoretical computer science including studies of abstract machines, the language hierarchy from regular languages to recursively enumerable languages, noncomputability and complexity theory.
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These lecture notes present an introduction to theoretical computer science including studies of abstract machines, the language hierarchy from regular languages to recursively enumerable languages, noncomputability and complexity theory.
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A New Kind of Science by Stephen Wolfram
Publisher: Wolfram Media 2002
ISBN/ASIN: 1579550088
ISBN-13: 9781579550080
Number of pages: 1192
ISBN/ASIN: 1579550088
ISBN-13: 9781579550080
Number of pages: 1192
Description:
Starting from a collection of simple computer experiments -- illustrated in the book by striking computer graphics -- Wolfram shows how their unexpected results force a whole new way of looking at the operation of our universe.
Starting from a collection of simple computer experiments -- illustrated in the book by striking computer graphics -- Wolfram shows how their unexpected results force a whole new way of looking at the operation of our universe.
Advances in Knowledge Representation by Carlos Ramírez Gutiérrez
Publisher: InTech 2012
ISBN-13: 9789535105978
Number of pages: 272
ISBN-13: 9789535105978
Number of pages: 272
Description:
Advances in Knowledge Representation offers a compilation of state of the art research works on topics such as concept theory, positive relational algebra and k-relations, structured, visual and ontological models of knowledge representation, as well as detailed descriptions of applications to various domains, such as semantic representation and extraction, intelligent information retrieval, program proof checking, complex planning, and data preparation for knowledge modelling, and a extensive bibliography.
Advances in Knowledge Representation offers a compilation of state of the art research works on topics such as concept theory, positive relational algebra and k-relations, structured, visual and ontological models of knowledge representation, as well as detailed descriptions of applications to various domains, such as semantic representation and extraction, intelligent information retrieval, program proof checking, complex planning, and data preparation for knowledge modelling, and a extensive bibliography.
Modern Information Systems by Christos Kalloniatis
Publisher: InTech 2012
ISBN-13: 9789535106470
Number of pages: 166
ISBN-13: 9789535106470
Number of pages: 166
Description:
This book may assist researchers on studying the innovative functions of modern information systems in various areas like health, telematics, knowledge management, etc. It can also assist young students in capturing the new research tendencies of the information systems' development.
This book may assist researchers on studying the innovative functions of modern information systems in various areas like health, telematics, knowledge management, etc. It can also assist young students in capturing the new research tendencies of the information systems' development.
Computer Science from the Bottom Up by Ian Wienand Publisher: bottomupcs.com 2013
Description:
Computer Science from the Bottom Up: a free, online book designed to teach computer science from the bottom end up. Topics covered include binary and binary logic, operating systems internals, toolchain fundamentals and system library fundamentals.
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Computer Science from the Bottom Up: a free, online book designed to teach computer science from the bottom end up. Topics covered include binary and binary logic, operating systems internals, toolchain fundamentals and system library fundamentals.
click here
Using C and C++ with Fortran free download
Author(s): Nelson H. F. Beebe
Publisher: N/A
Edition: 1
Download the free book or read it online!!!
Using C and C++ with Fortran by Nelson H. F. Beebe is available on an external website.
Click here to view or download the book.
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