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261
Current trends in scientific computing : ICM 2002 Beijing Satellite Conference on Scientific Computing, August 15-18, 2002, Xi'an Jiaotang University, Xi'an, China
Published 2003Full text (MFA users only)
Electronic Conference Proceeding eBook -
262
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263
Quantitative graph theory : mathematical foundations and applications
Published 2015Full text (MFA users only)
Electronic eBook -
264
Introductory aerodynamics and hydrodynamics of wings and bodies : a software-based approach
Published 1997Full text (MFA users only)
Electronic eBook -
265
A guide to creating a successful algorithmic trading strategy
Published 2016Full text (MFA users only)
Electronic eBook -
266
Predictive Analytics For Dummies.
Published 2016Table of Contents: “…Contextual searchDifferentiating Business Intelligence from Big-Data Analytics; Exploration of Raw Data; Identifying data attributes; Exploring common data visualizations; Tabular visualizations; 3Word clouds; Flocking birds as a novel data representation; Graph charts; Common visualizations; Part 2 Incorporating Algorithms in Your Models; Chapter 5 Applying Models; Modeling Data; Models and simulation; Categorizing models; Describing and summarizing data; Making better business decisions; Healthcare Analytics Case Studies; Google Flu Trends; Cancer survivability predictors.…”
Full text (MFA users only)
Electronic eBook -
267
Data Mining and Statistics for Decision Making
Published 2011Table of Contents: “…Some empirical rules for network design -- 8.5. Data normalization -- 8.6. Learning algorithms -- 8.7. …”
Full text (MFA users only)
eBook -
268
Data Analytics Applied to the Mining Industry.
Published 2020Table of Contents: “…The Role of People in Digital Mining Transformation for Future Mining -- The Role of Process in Mining Digital Transformation for Future Mining -- The Role of Technology in Mining Digital Transformation for Future Mining -- Academy Responsibilities in Mining DT Improvement -- Summary -- References -- 2. Advanced Data Analytics -- Introduction -- Big Data -- Analytics -- Deep Learning -- CNNs -- Deep Neural Network -- Recurrent Neural Network (RNN) -- ML -- Fuzzy Logic -- Classification Techniques -- Clustering -- Evolutionary Techniques -- Genetic Algorithms (GAs) -- Ant Colony Optimization (ACO)…”
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Electronic eBook -
269
Automating open source intelligence : algorithms for OSINT
Published 2016Table of Contents: “…Comparison to Existing ApproachConclusion and future work; References; Chapter 5 -- Preventing Data Exfiltration: Corporate Patterns and Practices; What is Happening Around the World?…”
Full text (MFA users only)
Electronic eBook -
270
Combinatorial Development Of Solid Catalytic Materials : Design Of High-Throughput Experiments, Data Analysis, Data Mining.
Published 2009Table of Contents: “…Analysis and Mining of Data Collected in Catalytic Experiments (M. Holena) -- 5.1. …”
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Electronic eBook -
271
Online stochastic combinatorial optimization
Published 2006Full text (MFA users only)
Electronic eBook -
272
Discrete Algebraic Methods : Arithmetic, Cryptography, Automata and Groups
Published 2016Full text (MFA users only)
Electronic eBook -
273
Handbook of Satisfiability : Handbook of Satisfiability.
Published 2009Table of Contents: “…5.3 Heuristics5.4 Additional Reasoning; 5.5 Eager Data-Structures; References; Chapter 6. Incomplete Algorithms; 6.1 Greedy Search and Focused Random Walk; 6.2 Extensions of the Basic Local Search Method; 6.3 Discrete Lagrangian Methods; 6.4 The Phase Transition Phenomenon in Random k-SAT; 6.5 A New Technique for Random k-SAT: Survey Propagation; 6.6 Conclusion; References; Chapter 7. …”
Full text (MFA users only)
Electronic eBook -
274
Introduction to numerical electrostatics using MATLAB
Published 2014Full text (MFA users only)
Electronic eBook -
275
Big Data Analytics for Internet of Things.
Published 2021Table of Contents: “…2.16 Temporary Conclusion -- Acknowledgements -- References -- Chapter 3 Machine Learning Techniques for IoT Data Analytics -- 3.1 Introduction -- 3.2 Taxonomy of Machine Learning Techniques -- 3.2.1 Supervised ML Algorithm -- 3.2.1.1 Classification -- 3.2.1.2 Regression Analysis -- 3.2.1.3 Classification and Regression Tasks -- 3.2.2 Unsupervised Machine Learning Algorithms -- 3.2.2.1 Clustering -- 3.2.2.2 Feature Extraction -- 3.2.3 Conclusion -- References -- Chapter 4 IoT Data Analytics Using Cloud Computing -- 4.1 Introduction -- 4.2 IoT Data Analytics -- 4.2.1 Process of IoT Analytics…”
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Electronic eBook -
276
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277
When life is linear : from computer graphics to bracketology
Published 2015Full text (MFA users only)
Electronic eBook -
278
Educational Data Mining with R and Rattle.
Published 2016Table of Contents: “…2.2.8 Mining Association Rules in Student's Data2.2.9 Clustering Data Mining; 2.2.10 Prediction for Student's Performance Using Classification Method; 2.2.11 Classification Techniques; 2.2.12 Educational Data Mining Model Using Rattle; 2.3 Conclusion; Chapter 3 -- Design Aspects and Developmental Framework of the System; 3.1 Introduction; 3.2 EDM Phases and Research Framework; 3.3 Methods of Educational Data Mining; 3.4 Algorithms and Tools; 3.5 Data Mining Process; 3.5.1 Data Collection; 3.5.2 Data Preprocessing and Transformation; 3.5.3 R Packages and Functions for Data Mining.…”
Full text (MFA users only)
Electronic eBook -
279
Hidden structure : music analysis using computers
Published 2008Full text (MFA users only)
Electronic eBook -
280
Statistical Methods and Computer Applications.
Published 2009Table of Contents: “…Section B : COMPUTER APPLICATIONSIntroducing Computer Systems; Algorithms and Flow Charts; Introduction to C; Constants, Variables and Data Types; Operators and Expressions; Decision Control Structure; Loop Control Structure; Functions; Arrays; File Handling; Computer Applications in Pharmaceutical and Clinical Studies.…”
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Electronic eBook