Multiple Discovery

Multiple Discovery
Author: David Lamb,Susan M. Easton
Publsiher: Unknown
Total Pages: 272
Release: 1984
Genre: Science
ISBN: UOM:39015011503128

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Reinventing Discovery

Reinventing Discovery
Author: Michael Nielsen
Publsiher: Princeton University Press
Total Pages: 272
Release: 2020-04-07
Genre: Science
ISBN: 9780691202846

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"Reinventing Discovery argues that we are in the early days of the most dramatic change in how science is done in more than 300 years. This change is being driven by new online tools, which are transforming and radically accelerating scientific discovery"--

Advances in Knowledge Discovery and Data Mining

Advances in Knowledge Discovery and Data Mining
Author: David Cheung,Graham J. Williams,Qing Li
Publsiher: Springer Science & Business Media
Total Pages: 613
Release: 2001-04-04
Genre: Computers
ISBN: 9783540419105

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This book constitutes the refereed proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2001, held in Hong Kong, China in April 2001. The 38 revised full papers and 22 short papers presented were carefully reviewed and selected from a total of 152 submissions. The book offers topical sections on Web mining, text mining, applications and tools, concept hierarchies, feature selection, interestingness, sequence mining, spatial and temporal mining, association mining, classification and rule induction, clustering, and advanced topics and new methods.

Principles of Data Mining and Knowledge Discovery

Principles of Data Mining and Knowledge Discovery
Author: Djamel A. Zighed,Jan Komorowski,Jan Zytkow
Publsiher: Springer
Total Pages: 701
Release: 2003-07-31
Genre: Computers
ISBN: 9783540453727

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This book constitutes the refereed proceedings of the 4th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2000, held in Lyon, France in September 2000. The 86 revised papers included in the book correspond to the 29 oral presentations and 57 posters presented at the conference. They were carefully reviewed and selected from 147 submissions. The book offers topical sections on new directions, rules and trees, databases and reward-based learning, classification, association rules and exceptions, instance-based discovery, clustering, and time series analysis.

Advances in Knowledge Discovery and Data Mining

Advances in Knowledge Discovery and Data Mining
Author: Joshua Zhexue Huang,Longbing Cao,Jaideep Srivastava
Publsiher: Springer Science & Business Media
Total Pages: 588
Release: 2011-05-09
Genre: Computers
ISBN: 9783642208409

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The two-volume set LNAI 6634 and 6635 constitutes the refereed proceedings of the 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2011, held in Shenzhen, China in May 2011. The total of 32 revised full papers and 58 revised short papers were carefully reviewed and selected from 331 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD-related areas including data mining, machine learning, artificial intelligence and pattern recognition, data warehousing and databases, statistics, knoweldge engineering, behavior sciences, visualization, and emerging areas such as social network analysis.

Studies in History Economics and Public Law

Studies in History  Economics  and Public Law
Author: Anonim
Publsiher: Unknown
Total Pages: 608
Release: 1926
Genre: Social sciences
ISBN: WISC:89058271081

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Advances in Knowledge Discovery and Data Mining

Advances in Knowledge Discovery and Data Mining
Author: Wee Keong Ng,Masaru Kitsuregawa,Jianzhong Li
Publsiher: Springer
Total Pages: 879
Release: 2006-03-10
Genre: Computers
ISBN: 9783540332077

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This book constitutes the refereed proceedings of the 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2006, held in Singapore in April 2006. The 67 revised full papers and 33 revised short papers presented together with 3 invited talks were carefully reviewed and selected from 501 submissions. The papers are organized in topical sections on Classification, Ensemble Learning, Clustering, Support Vector Machines, Text and Document Mining, Web Mining, Bio-Data Mining, and more.

Drug Discovery for Schizophrenia

Drug Discovery for Schizophrenia
Author: Tatiana V Lipina,John C Roder
Publsiher: Royal Society of Chemistry
Total Pages: 289
Release: 2015-04-28
Genre: Science
ISBN: 9781782622499

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Since the pioneering pharmacotherapy for treatment of schizophrenia in the 1950s by antipsychotics, only a few major innovations have been made, pointing to a general stagnation in the field of pharmacology of schizophrenia. Drug Discovery for Schizophrenia covers new insights in the field of schizophrenia with an aim to advance the understanding of scientists and clinicians in this area and to fuel drug discovery. The book outlines a change in the way schizophrenia is treated by moving away from focusing only on treating symptoms in patients. Innovative drugs emerge from deeper comprehension of the pathological processes that emerge earlier in life, hence, providing strategies for preventative therapy to alter the course of this mental disorder. Amongst other current topics, the book covers new findings in genetics and epigenetics, progress in animal models for schizophrenia and the usage of induced pluripotent stem cells. The combination of these important areas benefit psychiatric neuroscience, filling the gaps in the knowledge of neurobiology of schizophrenia and providing novel perspectives for future drug development.