This book addresses the question of how far it is possible to go in knowledge representation and reasoning by representing knowledge with graphs (in the graph theory sense) and reasoning with graph operations. The aut...
ISBN:
(纸本)1848002858;9781848002852;9781848002869
This book addresses the question of how far it is possible to go in knowledge representation and reasoning by representing knowledge with graphs (in the graph theory sense) and reasoning with graph operations. The authors have carefully structured the book with the first part covering basic conceptual graphs, the second developing the computational aspects, and the final section pooling the kernel extensions. An appendix summarizes the basic mathematical notions. This is the first book to provide a comprehensive view on the computational facets of conceptual graphs. The mathematical prerequisites are minimal and the material presented can be used in artificial intelligence courses at graduate level upwards.
The maturing of the field of data mining has brought about an increased level of mathematical sophistication. Such disciplines like topology, combinatorics, partially ordered sets and their associated algebraic struct...
ISBN:
(数字)9781848002012
ISBN:
(纸本)9781848002005
The maturing of the field of data mining has brought about an increased level of mathematical sophistication. Such disciplines like topology, combinatorics, partially ordered sets and their associated algebraic structures (lattices and Boolean algebras), and metric spaces are increasingly applied in data mining research. This book presents these mathematical foundations of data mining integrated with applications to provide the reader with a comprehensive reference. Mathematics is presented in a thorough and rigorous manner offering a detailed explanation of each topic, with applications to data mining such as frequent item sets, clustering, decision trees also being discussed. More than 400 exercises are included and they form an integral part of the material. Some of the exercises are in reality supplemental material and their solutions are included. The reader is assumed to have a knowledge of elementary analysis. Features and topics: Study of functions and relations Applications are provided throughout Presents graphs and hypergraphs Covers partially ordered sets, lattices and Boolean algebras Finite partially ordered sets Focuses on metric spaces Includes combinatorics Discusses the theory of the Vapnik-Chervonenkis dimension of collections of sets This wide-ranging, thoroughly detailed volume is self-contained and intended for researchers and graduate students, and will prove an invaluable reference tool.
Interval computing combined with fuzzy logic has become an emerging tool in studying artificial intelligence and knowledgeprocessing (AIKP) applications since it models uncertainties frequently raised in the field. T...
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ISBN:
(数字)9781848003262
ISBN:
(纸本)9781848003255
Interval computing combined with fuzzy logic has become an emerging tool in studying artificial intelligence and knowledgeprocessing (AIKP) applications since it models uncertainties frequently raised in the field. This book provides introductions for both interval and fuzzy computing in a very accessible style. Application algorithms covered in this book include quantitative and qualitative data mining with interval valued datasets, decision making systems with interval valued parameters, interval valued Nash games and interval weighted graphs. Successful applications in studying finance and economics, etc are also included. This book can serve as a handbook or a text for readers interested in applying interval and soft computing for AIKP.
HOW TO THINK ABOUT ALGORITHMSThere are many algorithm texts that provide lots of well-polished code andproofs of correctness. Instead, this one presents insights, notations, andanalogies to help the novice describe an...
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ISBN:
(数字)9780511410451
ISBN:
(纸本)9780521614108
HOW TO THINK ABOUT ALGORITHMSThere are many algorithm texts that provide lots of well-polished code andproofs of correctness. Instead, this one presents insights, notations, andanalogies to help the novice describe and think about algorithms like anexpert. It is a bit like a carpenter studying hammers instead of houses. JeffEdmonds provides both the big picture and easy step-by-step methods fordeveloping algorithms, while avoiding the comon pitfalls. Paradigms suchas loop invariants and recursion help to unify a huge range of algorithmsinto a few meta-algorithms. Part of the goal is to teach students to thinkabstractly. Without getting bogged down in formal proofs, the book fostersdeeper understanding so that how and why each algorithm works is trans-parent. These insights are presented in a slow and clear manner accessibleto second- or third-year students of computer science, preparing them tofind on their own innovative ways to solve *** is when you translate the equations, the rules, and the under-lying essences of the problem not only into a language that can be commu-nicated to your friend standing with you on a streetcar, but also into a formthat can percolate down and dwell in your subconscious. Because, remem-ber, it is your subconscious that makes the miraculous leaps of inspiration,not your plodding perspiration and not your cocky logic. And remember,unlike you, your subconscious does not understand Java ***-titleTitleCopyrightCONTENTSPREFACEIntroductionPART ONE: Iterative Algorithms and Loop Invariants1 Iterative Algorithms: Measures of Progress and Loop Invariants1.1 A Paradigm Shift: A Sequence of Actions vs. a Sequence of Assertions1.2 The Steps to Develop an Iterative Algorithm1.3 More about the Steps1.4 Different Types of Iterative Algorithms1.5 Typical Errors1.6 Exercises2 Examples Using More-of-the-Input Loop Invariants2.1 Coloring the Plane2.2 Deterministic Finite Automaton2.3 More of the Input vs. More of the
knowledge Cartography is the discipline of mapping intellectual landscapes. The focus of this book is on the process by which manually crafting interactive, hypertextual maps clarifies ones own understanding, as well ...
ISBN:
(数字)9781848001497
ISBN:
(纸本)9781848001480
knowledge Cartography is the discipline of mapping intellectual landscapes. The focus of this book is on the process by which manually crafting interactive, hypertextual maps clarifies ones own understanding, as well as communicating it. The authors see mapping software as a set of visual tools for reading and writing in a networked age. In an information ocean, the primary challenge is to find meaningful patterns around which we can weave plausible narratives. Maps of concepts, discussions and arguments make the connections between ideas tangible and disputable. With 17 chapters from the leading researchers and practitioners, the reader will find the current stateof-the-art in the field. Part 1 focuses on educational applications in schools and universities, before Part 2 turns to applications in professional communities, but with many cross-cutting themes: conceptual frameworks for understanding knowledge cartography visual languages, many of which work on both paper and with software specialist software, much of it freely available and open source case studies reflecting on successes and failures ways in which maps can be used both effectively and ineffectively examples of how to evaluate maps visit the website for updates on the field, and extra resources for each chapter: ***/books/knowledge-cartography knowledge Cartography will be of interest to learners, educators, and researchers in all disciplines, as well as policy analysts, scenario planners, knowledge managers and team facilitators. Practitioners will find new perspectives and tools to expand their repertoire, while researchers will find rich enough conceptual grounding for further scholarship.
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