Discovery Science
Discovery Science

Author: Klaus P. Jantke

Publisher: Springer Science & Business Media

Published: 2001-11-07

Total Pages: 510

ISBN-13: 3540429565

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These are the conference proceedings of the 4th International Conference on Discovery Science (DS 2001). Although discovery is naturally ubiquitous in s- ence, and scientific discovery itself has been subject to scientific investigation for centuries, the term Discovery Science is comparably new. It came up in conn- tion with the Japanese Discovery Science project (cf. Arikawa's invited lecture on The Discovery Science Project in Japan in the present volume) some time during the last few years. Setsuo Arikawa is the father in spirit of the Discovery Science conference series. He led the above mentioned project, and he is currently serving as the chairman of the international steering committee for the Discovery Science c- ference series. The other members of this board are currently (in alphabetical order) Klaus P. Jantke, Masahiko Sato, Ayumi Shinohara, Carl H. Smith, and Thomas Zeugmann. Colleagues and friends from all over the world took the opportunity of me- ing for this conference to celebrate Arikawa's 60th birthday and to pay tribute to his manifold contributions to science, in general, and to Learning Theory and Discovery Science, in particular. Algorithmic Learning Theory (ALT, for short) is another conference series initiated by Setsuo Arikawa in Japan in 1990. In 1994, it amalgamated with the conference series on Analogical and Inductive Inference (AII), when ALT was held outside of Japan for the first time.

The Neurological Basis of Learning, Development and Discovery
The Neurological Basis of Learning, Development and Discovery

Author: Anton E. Lawson

Publisher: Springer Science & Business Media

Published: 2006-04-11

Total Pages: 306

ISBN-13: 0306482061

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A goal of mine ever since becoming an educational researcher has been to help construct a sound theory to guide instructional practice. For far too long, educational practice has suffered because we have lacked firm instructional guidelines, which in my view should be based on sound psychological theory, which in turn should be based on sound neurological theory. In other words, teachers need to know how to teach and that "how-to-teach" should be based solidly on how people learn and how their brains function. As you will see in this book, my answer to the question of how people learn is that we all learn by spontaneously generating and testing ideas. Idea generating involves analogies and testing requires comparing predicted consequences with actual consequences. We learn this way because the brain is essentially an idea generating and testing machine. But there is more to it than this. The very process ofgenerating and testing ideas results not only in the construction of ideas that work (i. e. , the learning of useful declarative knowledge), but also in improved skill in learning (i. e. , the development of improved procedural knowledge).

Pattern Detection and Discovery
Pattern Detection and Discovery

Author: David J Hand

Publisher: Springer

Published: 2003-08-02

Total Pages: 239

ISBN-13: 3540457283

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The collation of large electronic databases of scienti?c and commercial infor- tion has led to a dramatic growth of interest in methods for discovering struc- res in such databases. These methods often go under the general name of data mining. One important subdiscipline within data mining is concerned with the identi?cation and detection of anomalous, interesting, unusual, or valuable - cords or groups of records, which we call patterns. Familiar examples are the detection of fraud in credit-card transactions, of particular coincident purchases in supermarket transactions, of important nucleotide sequences in gene sequence analysis, and of characteristic traces in EEG records. Tools for the detection of such patterns have been developed within the data mining community, but also within other research communities, typically without an awareness that the - sic problem was common to many disciplines. This is not unreasonable: each of these disciplines has a large literature of its own, and a literature which is growing rapidly. Keeping up with any one of these is di?cult enough, let alone keeping up with others as well, which may in any case be couched in an - familiar technical language. But, of course, this means that opportunities are being lost, discoveries relating to the common problem made in one area are not transferred to the other area, and breakthroughs and problem solutions are being rediscovered, or not discovered for a long time, meaning that e?ort is being wasted and opportunities may be lost.

Computational and Structural Approaches to Drug Discovery
Computational and Structural Approaches to Drug Discovery

Author: Robert Stroud

Publisher: Royal Society of Chemistry

Published: 2007-10-31

Total Pages: 401

ISBN-13: 1847557961

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Computational methods impact all aspects of modern drug discovery and most notably these methods move rapidly from academic exercises to becoming drugs in clinical trials... This insightful book represents the experience and understanding of the global experts in the field and spotlights both the structural and medicinal chemistry aspects of drug design. The need to 'encode' the factors that determine adsorption, distribution, metabolism, excretion and toxicology are explored, as they remain the critical issues in this area of research. This indispensable resource provides the reader with: * A rich understanding of modern approaches to docking * A comparison and critical evaluation of state-of-the-art methods * Details on harnessing computational methods for both analysis and prediction * An insight into prediction potencies and protocols for unbiased evaluations of docking and scoring algorithms * Critical reviews of current fragment based methods with perceptive applications to kinases Addressing a wide range of uses of protein structures for drug discovery the Editors have created and essential reference for professionals in the pharmaceutical industry and moreover an indispensable core text for all graduate level courses covering molecular interactions and drug discovery.

Big Data Analytics: From Data to Discovery
Big Data Analytics: From Data to Discovery

Author: Dr.K.Varada Rajkumar

Publisher: Leilani Katie Publication

Published: 2024-07-13

Total Pages: 207

ISBN-13: 9363480488

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Dr.K.Varada Rajkumar, Associate Professor, Department of Computer Science and Engineering (AIML), MLR Institute of Technology, Hyderabad, Telangana, India. Vikram Pasupuleti, Software Developer, MS in Computer Technology, School of Technology, Eastern Illinois University, Charleston, Illinois, USA. Bharadwaj Thuraka, Software Developer, Master of Science, Information Systems, Northwest Missouri State University, Maryville, Missouri, USA. Dr.Saiteja Malisetty, Ph.D in Computing & Information Science, College of Information Science and Technology, University of Nebraska, Omaha, Nebraska, USA. Chandra Shikhi Kodete, Software Engineer, MS in Computer Technology, School of Technology, Eastern Illinois University, Charleston, Illinois, USA.

Knowledge Discovery and Data Mining
Knowledge Discovery and Data Mining

Author: O. Maimon

Publisher: Springer Science & Business Media

Published: 2013-03-09

Total Pages: 169

ISBN-13: 1475732961

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This book presents a specific and unified approach to Knowledge Discovery and Data Mining, termed IFN for Information Fuzzy Network methodology. Data Mining (DM) is the science of modelling and generalizing common patterns from large sets of multi-type data. DM is a part of KDD, which is the overall process for Knowledge Discovery in Databases. The accessibility and abundance of information today makes this a topic of particular importance and need. The book has three main parts complemented by appendices as well as software and project data that are accessible from the book's web site (http://www.eng.tau.ac.iV-maimonlifn-kdg£). Part I (Chapters 1-4) starts with the topic of KDD and DM in general and makes reference to other works in the field, especially those related to the information theoretic approach. The remainder of the book presents our work, starting with the IFN theory and algorithms. Part II (Chapters 5-6) discusses the methodology of application and includes case studies. Then in Part III (Chapters 7-9) a comparative study is presented, concluding with some advanced methods and open problems. The IFN, being a generic methodology, applies to a variety of fields, such as manufacturing, finance, health care, medicine, insurance, and human resources. The appendices expand on the relevant theoretical background and present descriptions of sample projects (including detailed results).

Synthetic Methods in Drug Discovery
Synthetic Methods in Drug Discovery

Author: David C Blakemore

Publisher: Royal Society of Chemistry

Published: 2016-07-15

Total Pages: 536

ISBN-13: 178262791X

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Building on key reactions presented in Volume 1, Synthetic Methods in Drug Discovery Volume 2 covers a range of important reaction types including organometallic chemistry, fluorination approaches and asymmetric methods as well as new and exciting areas such as Csp2-Csp3 couplings, catalytic amide bond forming reactions, hydrogen borrowing chemistry and methods to access novel motifs and monomers. This book provides both academic and industrial perspectives on key reactions giving the reader an excellent overview of the techniques used in modern synthesis. Reaction types are conveniently framed in the context of their value to industry and the challenges and limitations of methodologies are discussed with relevant illustrative examples. Moreover, key opportunities in expanding chemical space are presented, including the increasingly important syntheses that introduce three-dimensional molecular shape. Edited and authored by leading scientists from both academia and industry, this book will be a valuable reference for all chemists involved in drug discovery as well as postgraduate students in medicinal chemistry.

England and the Discovery of America, 1481-1620
England and the Discovery of America, 1481-1620

Author: David B. Quinn

Publisher: Taylor & Francis

Published: 2023-08-18

Total Pages: 559

ISBN-13: 1000963802

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First published in 1974, England and the Discovery of America places the early explorations of the English in North America in the broad context of 15th and 16th century history. Marshalling evidence that cannot be pushed aside and sifting a mass of fascinating detail (including problems of cartography and the Vinland Map controversy), Professor Quinn presents circumstantial indications pointing to 1481 as the date or the discovery of America by Bristol voyagers – fishermen seeking new sources of cod, and merchant sailors with maps carrying promise of unexploited Atlantic islands. Whereas England did little to follow up her early lead, Quinn demonstrates that English initiatives from the 1580s onward, though slow, were of great importance. He brings to life the men involved in a variety of rash and heroic experiments in colonization and casts new light on their fates. He makes it clear that it was this very profusion of trial and error and trail again, as well as the conviction that settlement in temperate latitudes in North America could be effective if tenaciously enough sought, that enabled the English to strike and maintain routes in their new American world. This book will be of interest to students of English history, American history, colonial history and naval history.

Privileged Scaffolds in Drug Discovery
Privileged Scaffolds in Drug Discovery

Author: Bin Yu

Publisher: Elsevier

Published: 2023-07-19

Total Pages: 988

ISBN-13: 044318612X

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Privileged Scaffolds in Drug Discovery is the most complete and up-to-date work in the area. Covering a wide range of privileged structures, it is a perfect reference for scientists involved in targeted drug development. The editors recruited epserts from several prestigious Chinese institutions to cover the areas of antiviral drugs, chalcone, pyrimidine, (benz)imidazoles, natural product-derived privileged scaffolds, N-Sulfonyl carboxamides, kinase inhibitors, antitumor molecules, antineurodegenerative drugs, triazoles, oxazolidinone, indole and indoline scaffolds, tigliane diterpenoids, peptide and peptide-based drugs, quassinoids, and others including pseudonatural products, macrocycles, stable peptides and peptidomimetics. The book also explores scaffolds in drug molecules approved in recent years. Privileged Scaffolds in Drug Discovery is a complete reference for researchers in drug discovery and organic synthesis, in academic and corporate settings, who are investigating privileged structures upon which to base new drugs. Researchers in medicinal chemistry and chemical biology will also find the contents of this book valuable. - Provides wide coverage of privileged scaffolds in new drug discovery - Includes complex and diverse natural product scaffolds - Covers applications to peptides and peptide-based drugs

Advances in Knowledge Discovery and Management
Advances in Knowledge Discovery and Management

Author: Fabrice Guillet

Publisher: Springer

Published: 2010-09-07

Total Pages: 340

ISBN-13: 3642005802

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During the last decade, the French-speaking scientific community developed a very strong research activity in the field of Knowledge Discovery and Management (KDM or EGC for “Extraction et Gestion des Connaissances” in French), which is concerned with, among others, Data Mining, Knowledge Discovery, Business Intelligence, Knowledge Engineering and SemanticWeb. The recent and novel research contributions collected in this book are extended and reworked versions of a selection of the best papers that were originally presented in French at the EGC 2009 Conference held in Strasbourg, France on January 2009. The volume is organized in four parts. Part I includes five papers concerned by various aspects of supervised learning or information retrieval. Part II presents five papers concerned with unsupervised learning issues. Part III includes two papers on data streaming and two on security while in Part IV the last four papers are concerned with ontologies and semantic.