Model Induction From Data

Author : Y.B. Dibike
Publisher : CRC Press
Page : 160 pages
File Size : 50,9 Mb
Release : 2002-01-01
Category : Science
ISBN : 9058093565

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Model Induction from Data by Y.B. Dibike Pdf

There has been an explosive growth of methods in recent years for learning (or estimating dependency) from data, where data refers to known samples that are combinations of inputs and corresponding outputs of a given physical system. The main subject addressed in this thesis is model induction from data for the simulation of hydrodynamic processes in the aquatic environment. Firstly, some currently popular artificial neural network architectures are introduced, and it is then argued that these devices can be regarded as domain knowledge incapsulators by applying the method to the generation of wave equations from hydraulic data and showing how the equations of numerical-hydraulic models can, in their turn, be recaptured using artificial neural networks. The book also demonstrates how artificial neural networks can be used to generate numerical operators on non-structured grids for the simulation of hydrodynamic processes in two-dimensional flow systems and a methodology has been derived for developing generic hydrodynamic models using artificial neural network. The book also highlights one other model induction technique, namely that of support vector machine, as an emerging new method with a potential to provide more robust models.

Author : David L. Dowe
Publisher : World Scientific
Page : 423 pages
File Size : 54,8 Mb
Release : 1996
Category : Artificial intelligence
ISBN : 9789814530637

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Information, Statistics, and Induction in Science by David L. Dowe Pdf

Author : Fatos Xhafa,Leonard Barolli,Admir Barolli,Petraq Papajorgji
Publisher : Springer
Page : 516 pages
File Size : 41,8 Mb
Release : 2014-11-04
Category : Technology & Engineering
ISBN : 9783319091778

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Modeling and Processing for Next-Generation Big-Data Technologies by Fatos Xhafa,Leonard Barolli,Admir Barolli,Petraq Papajorgji Pdf

This book covers the latest advances in Big Data technologies and provides the readers with a comprehensive review of the state-of-the-art in Big Data processing, analysis, analytics, and other related topics. It presents new models, algorithms, software solutions and methodologies, covering the full data cycle, from data gathering to their visualization and interaction, and includes a set of case studies and best practices. New research issues, challenges and opportunities shaping the future agenda in the field of Big Data are also identified and presented throughout the book, which is intended for researchers, scholars, advanced students, software developers and practitioners working at the forefront in their field.

Author : City of London College of Economics
Publisher : City of London College of Economics
Page : 2653 pages
File Size : 52,9 Mb
Release : 2024-06-15
Category : Education
ISBN : 8210379456XXX

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Data Scientist Diploma (master's level) - City of London College of Economics - 6 months - 100% online / self-paced by City of London College of Economics Pdf

Overview This diploma course covers all aspects you need to know to become a successful Data Scientist. Content - Getting Started with Data Science - Data Analytic Thinking - Business Problems and Data Science Solutions - Introduction to Predictive Modeling: From Correlation to Supervised Segmentation - Fitting a Model to Data - Overfitting and Its Avoidance - Similarity, Neighbors, and Clusters Decision Analytic Thinking I: What Is a Good Model? - Visualizing Model Performance - Evidence and Probabilities - Representing and Mining Text - Decision Analytic Thinking II: Toward Analytical Engineering - Other Data Science Tasks and Techniques - Data Science and Business Strategy - Machine Learning: Learning from Data with Your Machine. - And much more Duration 6 months Assessment The assessment will take place on the basis of one assignment at the end of the course. Tell us when you feel ready to take the exam and we’ll send you the assignment questions. Study material The study material will be provided in separate files by email / download link.

Author : Vijay Kotu,Bala Deshpande
Publisher : Morgan Kaufmann
Page : 446 pages
File Size : 54,9 Mb
Release : 2014-11-27
Category : Computers
ISBN : 9780128016503

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Predictive Analytics and Data Mining by Vijay Kotu,Bala Deshpande Pdf

Put Predictive Analytics into Action Learn the basics of Predictive Analysis and Data Mining through an easy to understand conceptual framework and immediately practice the concepts learned using the open source RapidMiner tool. Whether you are brand new to Data Mining or working on your tenth project, this book will show you how to analyze data, uncover hidden patterns and relationships to aid important decisions and predictions. Data Mining has become an essential tool for any enterprise that collects, stores and processes data as part of its operations. This book is ideal for business users, data analysts, business analysts, business intelligence and data warehousing professionals and for anyone who wants to learn Data Mining. You’ll be able to: 1. Gain the necessary knowledge of different data mining techniques, so that you can select the right technique for a given data problem and create a general purpose analytics process. 2. Get up and running fast with more than two dozen commonly used powerful algorithms for predictive analytics using practical use cases. 3. Implement a simple step-by-step process for predicting an outcome or discovering hidden relationships from the data using RapidMiner, an open source GUI based data mining tool Predictive analytics and Data Mining techniques covered: Exploratory Data Analysis, Visualization, Decision trees, Rule induction, k-Nearest Neighbors, Naïve Bayesian, Artificial Neural Networks, Support Vector machines, Ensemble models, Bagging, Boosting, Random Forests, Linear regression, Logistic regression, Association analysis using Apriori and FP Growth, K-Means clustering, Density based clustering, Self Organizing Maps, Text Mining, Time series forecasting, Anomaly detection and Feature selection. Implementation files can be downloaded from the book companion site at www.LearnPredictiveAnalytics.com Demystifies data mining concepts with easy to understand language Shows how to get up and running fast with 20 commonly used powerful techniques for predictive analysis Explains the process of using open source RapidMiner tools Discusses a simple 5 step process for implementing algorithms that can be used for performing predictive analytics Includes practical use cases and examples

Author : Evangelos Triantaphyllou,Giovanni Felici
Publisher : Springer Science & Business Media
Page : 784 pages
File Size : 54,9 Mb
Release : 2006-09-10
Category : Computers
ISBN : 9780387342962

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Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques by Evangelos Triantaphyllou,Giovanni Felici Pdf

This book outlines the core theory and practice of data mining and knowledge discovery (DM & KD) examining theoretical foundations for various methods, and presenting an array of examples, many drawn from real-life applications. Most theoretical developments are accompanied by extensive empirical analysis, offering a deep insight into both theoretical and practical aspects of the subject. The book presents the combined research experiences of 40 expert contributors of world renown.

Author : Tamas Horváth
Publisher : Springer Science & Business Media
Page : 411 pages
File Size : 50,6 Mb
Release : 2003-09-24
Category : Computers
ISBN : 9783540201441

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Inductive Logic Programming by Tamas Horváth Pdf

This book constitutes the refereed proceedings of the 13th International Conference on Inductive Logic Programming, ILP 2003, held in Szeged, Hungary in September/October 2003. The 23 revised full papers presented were carefully reviewed and selected from 53 submissions. Among the topics addressed are multirelational data mining, complexity issues, theory revision, clustering, mathematical discovery, relational reinforcement learning, multirelational learning, inductive inference, description logics, grammar systems, and inductive learning.

Author : Y.B. Dibike
Publisher : CRC Press
Page : 128 pages
File Size : 49,8 Mb
Release : 2017-10-02
Category : Electronic
ISBN : 1138474797

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Model Induction from Data by Y.B. Dibike Pdf

There has been an explosive growth of methods in recent years for learning (or estimating dependency) from data, where data refers to known samples that are combinations of inputs and corresponding outputs of a given physical system. The main subject addressed in this thesis is model induction from data for the simulation of hydrodynamic processes in the aquatic environment. Firstly, some currently popular artificial neural network architectures are introduced, and it is then argued that these devices can be regarded as domain knowledge incapsulators by applying the method to the generation of wave equations from hydraulic data and showing how the equations of numerical-hydraulic models can, in their turn, be recaptured using artificial neural networks. The book also demonstrates how artificial neural networks can be used to generate numerical operators on non-structured grids for the simulation of hydrodynamic processes in two-dimensional flow systems and a methodology has been derived for developing generic hydrodynamic models using artificial neural network. The book also highlights one other model induction technique, namely that of support vector machine, as an emerging new method with a potential to provide more robust models.

Author : Aksel Tjora
Publisher : Routledge
Page : 168 pages
File Size : 47,6 Mb
Release : 2018-08-06
Category : Social Science
ISBN : 9781351396950

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Qualitative Research as Stepwise-Deductive Induction by Aksel Tjora Pdf

This book provides thorough guidance on various forms of data generation and analysis, presenting a model for the research process in which detailed data analysis and generalization through the development of concepts are central. Based on an inductive principle, which begins with raw data and moves towards concepts or theories through incremental deductive feedback loops, the ‘stepwise-deductive induction’ approach advanced by the author focuses on the analysis phase in research. Concentrating on creativity, structuring of analytical work, and collaborative development of generic knowledge, it seeks to enable researchers to extend their insight of a subject area without having personally to study all the data generated throughout a project. A constructive alternative to Grounded Theory, the approach advanced here is centred on qualitative research that aims at developing concepts, models, or theories on basis of a gradual paradigm to reduce complexity. As such, it will appeal to scholars and students across the social sciences with interests in methods and the analysis of qualitative data of various kinds.

Author : Mikhail Kanevski
Publisher : John Wiley & Sons
Page : 224 pages
File Size : 55,5 Mb
Release : 2013-05-10
Category : Social Science
ISBN : 9781118623268

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Advanced Mapping of Environmental Data by Mikhail Kanevski Pdf

This book combines geostatistics and global mapping systems to present an up-to-the-minute study of environmental data. Featuring numerous case studies, the reference covers model dependent (geostatistics) and data driven (machine learning algorithms) analysis techniques such as risk mapping, conditional stochastic simulations, descriptions of spatial uncertainty and variability, artificial neural networks (ANN) for spatial data, Bayesian maximum entropy (BME), and more.

Author : David Cheung,Graham J. Williams,Qing Li
Publisher : Springer Science & Business Media
Page : 613 pages
File Size : 48,9 Mb
Release : 2001-04-04
Category : Computers
ISBN : 9783540419105

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Advances in Knowledge Discovery and Data Mining by David Cheung,Graham J. Williams,Qing Li Pdf

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.

Author : Yiyu Yao,Qinghua Hu,Hong Yu,Jerzy W. Grzymala-Busse
Publisher : Springer
Page : 505 pages
File Size : 42,8 Mb
Release : 2015-11-21
Category : Computers
ISBN : 9783319257839

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Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing by Yiyu Yao,Qinghua Hu,Hong Yu,Jerzy W. Grzymala-Busse Pdf

This book constitutes the refereed conference proceedings of the 15th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, RSFDGrC 2015, held in Tianjin, China in November 2015 as one of the co-located conference of the 2015 Joint Rough Set Symposium, JRS 2015. The 44 papers were carefully reviewed and selected from 97 submissions. The papers in this volume cover topics such as rough sets: the experts speak; generalized rough sets; rough sets and graphs; rough and fuzzy hybridization; granular computing; data mining and machine learning; three-way decisions; IJCRS 2015 data challenge.

Author : Phillip A. Laplante
Publisher : CRC Press
Page : 1013 pages
File Size : 43,9 Mb
Release : 2017-10-02
Category : Computers
ISBN : 9781351652490

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Encyclopedia of Computer Science and Technology by Phillip A. Laplante Pdf

With breadth and depth of coverage, the Encyclopedia of Computer Science and Technology, Second Edition has a multi-disciplinary scope, drawing together comprehensive coverage of the inter-related aspects of computer science and technology. The topics covered in this encyclopedia include: General and reference Hardware Computer systems organization Networks Software and its engineering Theory of computation Mathematics of computing Information systems Security and privacy Human-centered computing Computing methodologies Applied computing Professional issues Leading figures in the history of computer science The encyclopedia is structured according to the ACM Computing Classification System (CCS), first published in 1988 but subsequently revised in 2012. This classification system is the most comprehensive and is considered the de facto ontological framework for the computing field. The encyclopedia brings together the information and historical context that students, practicing professionals, researchers, and academicians need to have a strong and solid foundation in all aspects of computer science and technology.

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 1516 pages
File Size : 44,9 Mb
Release : 2022-05-13
Category : Computers
ISBN : 9781668462928

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Research Anthology on Machine Learning Techniques, Methods, and Applications by Management Association, Information Resources Pdf

Machine learning continues to have myriad applications across industries and fields. To ensure this technology is utilized appropriately and to its full potential, organizations must better understand exactly how and where it can be adapted. Further study on the applications of machine learning is required to discover its best practices, challenges, and strategies. The Research Anthology on Machine Learning Techniques, Methods, and Applications provides a thorough consideration of the innovative and emerging research within the area of machine learning. The book discusses how the technology has been used in the past as well as potential ways it can be used in the future to ensure industries continue to develop and grow. Covering a range of topics such as artificial intelligence, deep learning, cybersecurity, and robotics, this major reference work is ideal for computer scientists, managers, researchers, scholars, practitioners, academicians, instructors, and students.

Author : Ronald Christensen
Publisher : Springer Science & Business Media
Page : 335 pages
File Size : 45,6 Mb
Release : 1991
Category : Mathematics
ISBN : 9780387974132

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Linear Models for Multivariate, Time Series, and Spatial Data by Ronald Christensen Pdf

A companion volume to Plane answers to complex questions: the theory of linear models (1987), presenting six chapters with shallow treatments of very broad topics showing how the properties of three fundamental ideas from standard linear model theory can be used to examine multivariate, time series,