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000823529 019__ $$a1003200428$$a1008870657$$a1012059766
000823529 020__ $$a9783319678467$$q(electronic book)
000823529 020__ $$a3319678469$$q(electronic book)
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000823529 0247_ $$a10.1007/978-3-319-67846-7$$2doi
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000823529 08204 $$a796.0285$$223
000823529 1112_ $$aInternational Symposium on Computer Science in Sport$$n(11th :$$d2017 :$$cKonstanz, Germany)
000823529 24510 $$aProceedings of the 11th International Symposium on Computer Science in Sport (IACSS 2017) /$$cMartin Lames, Dietmar Saupe, Josef Wiemeyer, editors.
000823529 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2018]
000823529 300__ $$a1 online resource (x, 170 pages) :$$billustrations.
000823529 336__ $$atext$$btxt$$2rdacontent
000823529 337__ $$acomputer$$bc$$2rdamedia
000823529 338__ $$aonline resource$$bcr$$2rdacarrier
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000823529 4901_ $$aAdvances in intelligent systems and computing ;$$vvolume 663
000823529 504__ $$aIncludes bibliographical references and index.
000823529 5050_ $$aPreface; Organization; Program Chairs; Program Committee; Invited Keynote Speakers; Local Organization Committee; Contents; Predicting Team Sports Results; An Empirical Analysis on European Odds of English Premier League; Abstract; 1 Introduction; 2 Methods; 2.1 Data Sample; 2.2 Initial Odds, Instant Odds and Odds Adjustment Difference; 2.3 Concordance Rate, Draw Rate and Reversal Rate Between Instant Odds and Game Results; 2.4 Odds Difference and Its Classification Standards; 2.5 Odds Difference Coefficient; 2.6 Competitive Balance Entropy (CBE); 3 Results
000823529 5058_ $$a3.1 The Relationship between Odds and the Winning Percentage3.2 Odds Adjustment Difference; 3.3 CR, DR and RR Between Instant Odds and Game Results; 3.4 CR, DR and RR of Different Odds Difference Levels; 3.5 A Longitudinal Analysis of Changes in CR, DR and RR Between Instant Odds and Game Results; 3.6 The Correlation Between CBE of EPL and Its Initial and Instant ODC; 4 Discussion; 5 Conclusion; References; Study on the "Hot Match" Effect in Professional Football Leagues; Abstract; 1 Introduction; 2 Method; 2.1 Subjects; 2.2 Procedures; 3 Results
000823529 5058_ $$a3.1 Analysis of the Winning Percentage of Home and Away3.2 Analysis of Winning Percentage with Conditional Probability (Previous Match Outcomes); 3.3 Analysis of the Winning Percentage with Conditional Probability (Home or Away Games and Previous Match Outcomes); 3.4 UNIANOVA of Winning Percentage; 3.5 UNIANOVA of Winning Percentage (Overall Data); 4 Conclusion; References; Modeling and Prediction; Artificial Neural Networks Predicting the Outcome of a Throwing Task -- Effects of Input Quantity and ...; Abstract; 1 Introduction; 2 Methods; 2.1 The Motor Task: Virtual Skittles
000823529 5058_ $$a2.2 Modeling the Task: Multilayer Perceptrons with Different Amounts of Input Information3 Results; 3.1 Descriptive Data of the Test Person's Task Performance; 3.2 Prediction Accuracy Based on Original Input Data (MLP-1 & MLP-2); 3.3 Prediction Accuracy Based on Noisy Input Data (MLP-1b and MLP-2b); 4 Discussion; 5 Conclusion; Acknowledgements; References; Activity Recognition of Local Muscular Endurance (LME) Exercises Using an Inertial Sensor; 1 Introduction; 2 Proposed Framework; 3 Methodology; 3.1 Sensor Calibration and Data Capture; 3.2 Segmentation of Data; 3.3 Feature Extraction
000823529 5058_ $$a3.4 Feature Reduction Using PCA3.5 Activity Recognition and Repetition Counting; 4 Results; 5 Conclusions; References; Gait Stability During Shod and Barefoot Walking and Running on a Treadmill Assessed by Correlation Entropy; 1 Introduction; 2 Material and Method; 2.1 Procedures; 2.2 Method; 2.3 Statistical Analysis; 3 Results; 4 Discussion; References; Statistical Models for Predicting Short-Term HR Responses to Submaximal Interval Exercise; Abstract; 1 Introduction; 2 Materials and Methods; 2.1 Participants and Apparatus; 2.2 Protocol; 2.3 Data Processing
000823529 506__ $$aAccess limited to authorized users.
000823529 520__ $$aThis book provides an overview of current research in the fascinating, interdisciplinary field of computer science and sports. It includes papers from the 11th International Symposium on Computer Science in Sport (IACSS 2017), which took place in Constance, Germany, on September 6–9, 2017. The papers represent the state of the art in utilizing the latest developments in computer science to support coaches and athletes. The book covers a broad range of topics, reflecting the diversity of the field.  It presents three categories of papers: those on concepts in informatics like modeling, virtual reality, simulation; those describing applications of computer science in sports like running, volleyball, water polo, and football; and contributions discussing the impact of computer science in sports federations and universities.  .
000823529 588__ $$aVendor-supplied metadata.
000823529 650_0 $$aSports sciences$$xComputer simulation$$vCongresses.
000823529 650_0 $$aSports sciences$$xData processing$$vCongresses.
000823529 7001_ $$aLames, Martin,$$eeditor.
000823529 7001_ $$aSaupe, Dietmar,$$d1954-$$eeditor.
000823529 7001_ $$aWiemeyer, Josef,$$d1960-$$eeditor.
000823529 77608 $$iPrint version: $$z3319678450$$z9783319678450$$w(OCoLC)1000594204
000823529 830_0 $$aAdvances in intelligent systems and computing ;$$v663.
000823529 852__ $$bebk
000823529 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-67846-7$$zOnline Access$$91397441.1
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