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Scientific data mining and knowledge discovery : principles and foundations

Scientific data mining and knowledge discovery : principles and foundations (Loan 2 times)

Material type
단행본
Personal Author
Gaber, Mohamed Medhat.
Title Statement
Scientific data mining and knowledge discovery : principles and foundations / Mohamed Medhat Gaber, editor.
Publication, Distribution, etc
Heidelberg :   Springer ,   c2010.  
Physical Medium
x, 400 p. : ill. ; 24 cm.
ISBN
9783642027871 3642027873 9783642027888 (ebk) 3642027881 (ebk)
요약
"The contributions in this book provide the reader with a complete view of the different tools used in the analysis of data for scientific discovery. Gaber has organized the presentation into four parts: Part I provides the reader with the necessary background in the disciplines on which scientific data mining and knowledge discovery are based. Part II details applications of computational methods used in geospatial, chemical, and bioinformatics applications. Part III is about data mining applications in geosciences, chemistry, and physics. Finally, in Part IV, future trends and directions for research are explained."--Springer website, viewed 17 November 2009.
Content Notes
Introduction / Mohamed Medhat Gaber -- Part I. Background. Machine learning / Achim Hoffmann and Ashesh Mahidadia ; Statistical inference / Shahjahan Khan ; The philosophy of science and its relation to machine learning / Jon Williamson ; Concept formation in scientific knowledge discovery from a constructivist view / Wei Peng and John S. Gero ; Knowledge representation and ontologies / Stephan Grimm -- Part II. Computational science. Spatial techniques / Nafaa Jabeur and Nabil Sahli ; Computational chemistry / Hassan Safouhi and Ahmed Bouferguene ; String mining in bioinformatics / Mohamed Abouelhoda and Moustafa Ghanem -- Part III. Data mining and knowledge discovery. Knowledge discovery and reasoning in geospatial applications / Nabil Sahli and Nafaa Jabeur ; Data mining and discovery of chemical knowledge / Lu Wencong ; Data mining and discovery of astronomical knowledge / Ghazi Al-Naymat -- Part IV. Future trends. On-board data mining / Steve Tanner, Cara Stein, and Sara J. Graves ; Data streams: an overview and scientific applications / Charu C. Aggarwal -- Index.
Bibliography, Etc. Note
Includes bibliographical references and index.
Subject Added Entry-Topical Term
Data mining. Computational intelligence. Machine learning. Science -- Databases.
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020 ▼a 9783642027871
020 ▼a 3642027873
020 ▼a 9783642027888 (ebk)
020 ▼a 3642027881 (ebk)
035 ▼a (OCoLC)472401702
040 ▼a AU@ ▼b eng ▼c AU@ ▼d YDXCP ▼d PIT ▼d GBVCP ▼d KUB ▼d 211009
050 4 ▼a QA76.9.D343 ▼b S37 2010
082 0 4 ▼a 006.3/12 ▼2 22
090 ▼a 006.312 ▼b S416
245 0 0 ▼a Scientific data mining and knowledge discovery : ▼b principles and foundations / ▼c Mohamed Medhat Gaber, editor.
260 ▼a Heidelberg : ▼b Springer , ▼c c2010.
300 ▼a x, 400 p. : ▼b ill. ; ▼c 24 cm.
504 ▼a Includes bibliographical references and index.
505 0 ▼a Introduction / Mohamed Medhat Gaber -- Part I. Background. Machine learning / Achim Hoffmann and Ashesh Mahidadia ; Statistical inference / Shahjahan Khan ; The philosophy of science and its relation to machine learning / Jon Williamson ; Concept formation in scientific knowledge discovery from a constructivist view / Wei Peng and John S. Gero ; Knowledge representation and ontologies / Stephan Grimm -- Part II. Computational science. Spatial techniques / Nafaa Jabeur and Nabil Sahli ; Computational chemistry / Hassan Safouhi and Ahmed Bouferguene ; String mining in bioinformatics / Mohamed Abouelhoda and Moustafa Ghanem -- Part III. Data mining and knowledge discovery. Knowledge discovery and reasoning in geospatial applications / Nabil Sahli and Nafaa Jabeur ; Data mining and discovery of chemical knowledge / Lu Wencong ; Data mining and discovery of astronomical knowledge / Ghazi Al-Naymat -- Part IV. Future trends. On-board data mining / Steve Tanner, Cara Stein, and Sara J. Graves ; Data streams: an overview and scientific applications / Charu C. Aggarwal -- Index.
520 2 ▼a "The contributions in this book provide the reader with a complete view of the different tools used in the analysis of data for scientific discovery. Gaber has organized the presentation into four parts: Part I provides the reader with the necessary background in the disciplines on which scientific data mining and knowledge discovery are based. Part II details applications of computational methods used in geospatial, chemical, and bioinformatics applications. Part III is about data mining applications in geosciences, chemistry, and physics. Finally, in Part IV, future trends and directions for research are explained."--Springer website, viewed 17 November 2009.
650 0 ▼a Data mining.
650 0 ▼a Computational intelligence.
650 0 ▼a Machine learning.
650 0 ▼a Science ▼x Databases.
700 1 ▼a Gaber, Mohamed Medhat.
945 ▼a KLPA

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Science & Engineering Library/Sci-Info(Stacks2)/ Call Number 006.312 S416 Accession No. 121190606 Availability Available Due Date Make a Reservation Service B M

Contents information

Table of Contents

Background.- Machine Learning.- Statistical Inference.- The Philosophy of Science and its relation to Machine Learning.- Concept Formation in Scientific Knowledge Discovery from a Constructivist View.- Knowledge Representation and Ontologies.- Computational Science.- Spatial Techniques.- Computational Chemistry.- String Mining in Bioinformatics.- Data Mining and Knowledge Discovery.- Knowledge Discovery and Reasoning in Geospatial Applications.- Data Mining and Discovery of Chemical Knowledge.- Data Mining and Discovery of Astronomical Knowledge.- Future Trends.- On-board Data Mining.- Data Streams: An Overview and Scientific Applications.


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