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COMPSTAT 2004 - Proceedings in Computational Statistics

Posted By: AvaxGenius

Date: 27 Feb 2024 01:07:49

COMPSTAT 2004 - Proceedings in Computational Statistics: 16th Symposium Held in Prague, Czech Republic, 2004 by Jaromir Antoch
English | PDF | 2004 | 578 Pages | ISBN : 3790815543 | 67.3 MB

Statistical computing provides the link between statistical theory and applied statistics. As at previous COMPSTAT volumes, the content of the book covers all aspects of this link, from the development and implementation of new statistical ideas to user experiences and software evaluation. The proceedings should appeal to anyone working in statistics and using computers, whether in universities, industrial companies, government agencies, research institutes or as software developers.

Science Classification Data Analysis Data Mining Clustering Computational Biostatistics Computational Statistics Probability Theory Stochastic Processes Mathematical Software Database Management Statistics Information Storage Retrieval Probability Statistics in Computer Science

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Advances in Knowledge Discovery and Management: Volume 10

Posted By: AvaxGenius

Date: 3 Feb 2024 04:35:56

This book comprises a distinguished collection of cutting-edge scientific contributions. Encompassing a wide range of subjects, it delves into machine learning, data mining, text analysis, data visualization, knowledge management, and more. The included articles are expanded versions of carefully selected top papers that were originally presented at the EGC’2020 conferences held in Paris (France, January 27-31, 2020). It is intended for researchers interested in these fields, including PhD and MSc students, and researchers from public or private laboratories. These extended versions underwent an additional peer-review process, building upon the already accepted long-format papers from the conference. The selection of long and short papers for the conference itself followed a rigorous double-blind peer-review process, evaluating numerous submissions (with a long paper acceptance rate of approximately 25%). For more details about the EGC society, please consult egc.asso.fr.

Science Classification Clustering Computational Intelligence Data Science Knowledge Management Development Artificial Intelligence Data Mining

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Advances in Communication and Applications

Posted By: AvaxGenius

Date: 2 Feb 2024 12:56:56

This book presents the proceedings of the International Conference on Emerging Research in Computing, Information, Communication and Applications (ERCICA) 2023. The conference provides an interdisciplinary forum for researchers, professional engineers and scientists, educators and technologists to discuss, debate and promote research and technology in the upcoming areas of computing, information, communication and their applications. Some of the topics include the Internet of Things (IoT), wireless communications, image and video processing, parallel and distributed computing, and smart grid applications, among others. The book discusses these emerging research areas, providing a valuable resource for researchers and practicing engineers alike.

Science Novel Design Discrete Wavelet Transform Wavelets Mathematical Preliminaries Haar Wavelet Methodology Data Collection Python Intelligent Camera Raspberry Algorithms Advanced Algorithms Motivation Haar Cascade Algorithm Cascade Algorithm machine learning Canny Edge Detection Driving Motor Analysis Result Analysis Routing AES Algorithm Power Analysis Power Circuit Components Quantum Gates Circuit Diagram Circuit Simulation Qiskit Qiskit Simulation Data Description Data Extraction Social Network Social Network Measures Visualizing IoT Smart Agriculture COVID-19 Low-Light Images Skin Cancer Detection Deep Learning Metadata Neural Networks Google Net ResNet DDoS DDoS Attacks Cloud Environment Credit Card Fraud Credit Card Fraud Analysis Fraud Analysis Ml Algorithms Logistic Regression KNN Decision Tree Control PID Data Analysis Classification Optimal Solution Deep Learning Techniques Embedded Devices Data Security Cloud Data Security Blockchain Encryption Cloud Computing RSA Algorithm Model Design

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Pattern Recognition and Computer Vision (Repost)

Posted By: AvaxGenius

Date: 31 Jan 2024 04:07:17

Pattern Recognition and Computer Vision (Repost)

Pattern Recognition and Computer Vision: First Chinese Conference, PRCV 2018, Guangzhou, China, November 23-26, 2018, Proceedings, Part I by Jian-Huang Lai, Cheng-Lin Liu, Xilin Chen, Jie Zhou, Tieniu Tan, Nanning Zheng, Hongbin Zha
English | PDF | 2018 | 603 Pages | ISBN : 303003397X | 121.8 MB

The four-volume set LNCS 11256, 11257, 11258, and 11259 constitutes the refereed proceedings of the First Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2018, held in Guangzhou, China, in November 2018.

Development Pattern Recognition Computer Vision Artificial intelligence Character recognition Classification Computer vision Computer Engineering Artificial Intelligence Image processing Face recognition

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Granular-Relational Data Mining: How to Mine Relational Data in the Paradigm of Granular Computing?

Posted By: AvaxGenius

Date: 8 Dec 2023 06:51:42

This book provides two general granular computing approaches to mining relational data, the first of which uses abstract descriptions of relational objects to build their granular representation, while the second extends existing granular data mining solutions to a relational case.

Science Relational Data Mining Data Mining Granular Computing Classification Association Discovery

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Classification and Data Science in the Digital Age

Posted By: AvaxGenius

Date: 7 Dec 2023 13:49:27

The contributions gathered in this book focus on modern methods for data science and classification and present a series of real-world applications. Numerous research topics are covered, ranging from statistical inference and modeling to clustering and dimension reduction, from functional data analysis to time series analysis, and network analysis. The applications reflect new analyses in a variety of fields, including medicine, marketing, genetics, engineering, and education.

Development Classification Data Science Science

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Energy Storage Systems: Fundamentals, Classification and a Technical Comparative

Posted By: AvaxGenius

Date: 15 Aug 2023 08:23:04

This book examines different energy storage technologies, empowering the reader to make informed decisions on which system is best suited for their specific needs.

Energy Storage Systems Energy Mathematical Model Classification Hydrogen Energy Energy Storage Technical Comparative Battery Energy Storage Energy Grids Renewable Energy Thermal Energy Storage Wind Energy Solar Thermal Energy

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Classification, Clustering, and Data Analysis: Recent Advances and Applications

Posted By: AvaxGenius

Date: 6 Aug 2023 16:10:37

The present volume contains a selection of papers presented at the Eighth Conference of the International Federation of Classification Societies (IFCS) which was held in Cracow, Poland, July 16-19, 2002. All originally submitted papers were subject to a reviewing process by two independent referees, a procedure which resulted in the selection of the 53 articles presented in this volume. These articles relate to theoretical investigations as well as to practical applications and cover a wide range of topics in the broad domain of classifi cation, data analysis and related methods. If we try to classify the wealth of problems, methods and approaches into some representative (partially over lapping) groups, we find in particular the following areas: • Clustering • Cluster validation • Discrimination • Multivariate data analysis • Statistical methods • Symbolic data analysis • Consensus trees and phylogeny • Regression trees • Neural networks and genetic algorithms • Applications in economics, medicine, biology, and psychology.

Science Analysis Data Analysis Classification Clustering

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Minimum Error Entropy Classification

Posted By: AvaxGenius

Date: 19 Apr 2023 12:21:06

Minimum Error Entropy Classification by Joaquim P. Marques de Sá , Luís M.A. Silva , Jorge M.F. Santos , Luís A. Alexandre
English | PDF | 2013 | 270 Pages | ISBN : 3642290280 | 7.9 MB

This book explains the minimum error entropy (MEE) concept applied to data classification machines. Theoretical results on the inner workings of the MEE concept, in its application to solving a variety of classification problems, are presented in the wider realm of risk functionals.

Information Theoretic Learning Computational Intelligence Minimum Error Entropy Classification Classification Entropy Classification Artificial Intelligence Complex Systems Computational Physics

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Foundations of Computational Intelligence Volume 6: Data Mining

Posted By: AvaxGenius

Date: 21 Mar 2023 12:01:03

Foundations of Computational Intelligence Volume 6: Data Mining by Ajith Abraham, Aboul-Ella Hassanien, André Ponce Leon F. de Carvalho, Václav Snášel
English | PDF | 2009 | 397 Pages | ISBN : 3642010903 | 9 MB

Foundations of Computational Intelligence Volume 6: Data Mining: Theoretical Foundations and Applications Finding information hidden in data is as theoretically difficult as it is practically important. With the objective of discovering unknown patterns from data, the methodologies of data mining were derived from statistics, machine learning, and artificial intelligence, and are being used successfully in application areas such as bioinformatics, business, health care, banking, retail, and many others.

Science Data Mining Computational Intelligence Function Approximation Approximation Fuzzy algorithms calculus Classification Engineering Computational Engineering Artificial Intelligence Computational Engineering Applications Development

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Foundations of Computational Intelligence Volume 5: Function Approximation and Classification (Repost)

Posted By: AvaxGenius

Date: 21 Mar 2023 11:43:14

Foundations of Computational Intelligence Volume 5: Function Approximation and Classification (Repost)

Foundations of Computational Intelligence Volume 5: Function Approximation and Classification by Ajith Abraham, Aboul-Ella Hassanien, Václav Snášel
English | PDF | 2009 | 378 Pages | ISBN : 3642015352 | 5.9 MB

Foundations of Computational Intelligence Volume 5: Function Approximation and Classification Approximation theory is that area of analysis which is concerned with the ability to approximate functions by simpler and more easily calculated functions. It is an area which, like many other fields of analysis, has its primary roots in the mat- matics. The need for function approximation and classification arises in many branches of applied mathematics, computer science and data mining in particular. This edited volume comprises of 14 chapters, including several overview Ch- ters, which provides an up-to-date and state-of-the art research covering the theory and algorithms of function approximation and classification. Besides research ar- cles and expository papers on theory and algorithms of function approximation and classification, papers on numerical experiments and real world applications were also encouraged.

Function Approximation Approximation Computational Intelligence Science Fuzzy algorithms calculus Artificial Intelligence Computational Engineering Applications Computational Engineering Engineering Classification

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Introduction to Cataloging and Classification

Posted By: DZ123

Date: 18 Jan 2023 19:22:20

Arlene G. Taylor, David P. Miller, "Introduction to Cataloging and Classification"
English | 2015 | ISBN: 1598848569, 1598848577 | PDF | pages: 765 | 11.6 mb

Library Classification

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Pattern Recognition and Computer Vision (Repost)

Posted By: AvaxGenius

Date: 25 Nov 2022 05:15:07

Pattern Recognition Computer Vision Artificial intelligence Character recognition Classification Computer vision Face recognition Image processing Neural networks Imaging systems Artificial Intelligence Data Computer Engineering

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Classification and Multivariate Analysis for Complex Data Structures (Repost)

Posted By: AvaxGenius

Date: 10 Nov 2022 16:27:28

Classification and Multivariate Analysis for Complex Data Structures (Repost)

Classification and Multivariate Analysis for Complex Data Structures by Bernard Fichet, Domenico Piccolo, Rosanna Verde, Maurizio Vichi
English | PDF | 2011 | 460 Pages | ISBN : 3642133118 | 8.6 MB

The growing capabilities in generating and collecting data has risen an urgent need of new techniques and tools in order to analyze, classify and summarize statistical information, as well as to discover and characterize trends, and to automatically bag anomalies. This volume provides the latest advances in data analysis methods for multidimensional data which can present a complex structure: The book offers a selection of papers presented at the first Joint Meeting of the Société Francophone de Classification and the Classification and Data Analysis Group of the Italian Statistical Society. Special attention is paid to new methodological contributions from both the theoretical and the applicative point of views, in the fields of Clustering, Classification, Time Series Analysis, Multidimensional Data Analysis, Knowledge Discovery from Large Datasets, Spatial Statistics.

Science Multidimensional Data Data Mining Classification Multivariate Data Analysis Data Analysis Optimal Scaling Statistical Theory Probability Computer Science Data Structures Mathematics

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Digital Library Technologies: Complex Objects, Annotation, Ontologies, Classification, Extraction, and Security

Posted By: AvaxGenius

Date: 27 Oct 2022 11:32:32

Digital libraries (DLs) have introduced new technologies, as well as leveraging, enhancing, and integrating related technologies, since the early 1990s. These efforts have been enriched through a formal approach, e.g., the 5S (Societies, Scenarios, Spaces, Structures, Streams) framework, which is discussed in two earlier volumes in this series. This volume should help advance work not only in DLs, but also in the WWW and other information systems.

Science Digital Library Digital Library Technologies Complex Objects Annotation Ontologies Classification Extraction Security DLs

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