Pdf Measure Evaluation ????? ????????


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Learning To Classify Text Using Support Vector Machines


Learning To Classify Text Using Support Vector Machines
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Author : Thorsten Joachims
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Learning To Classify Text Using Support Vector Machines written by Thorsten Joachims and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.


Based on ideas from Support Vector Machines (SVMs), Learning To Classify Text Using Support Vector Machines presents a new approach to generating text classifiers from examples. The approach combines high performance and efficiency with theoretical understanding and improved robustness. In particular, it is highly effective without greedy heuristic components. The SVM approach is computationally efficient in training and classification, and it comes with a learning theory that can guide real-world applications. Learning To Classify Text Using Support Vector Machines gives a complete and detailed description of the SVM approach to learning text classifiers, including training algorithms, transductive text classification, efficient performance estimation, and a statistical learning model of text classification. In addition, it includes an overview of the field of text classification, making it self-contained even for newcomers to the field. This book gives a concise introduction to SVMs for pattern recognition, and it includes a detailed description of how to formulate text-classification tasks for machine learning.



Introduction To Time Series Analysis And Forecasting


Introduction To Time Series Analysis And Forecasting
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Author : Douglas C. Montgomery
language : en
Publisher: John Wiley & Sons
Release Date : 2015-04-21

Introduction To Time Series Analysis And Forecasting written by Douglas C. Montgomery and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-21 with Mathematics categories.


Praise for the First Edition "...[t]he book is great for readers who need to apply the methods and models presented but have little background in mathematics and statistics." -MAA Reviews Thoroughly updated throughout, Introduction to Time Series Analysis and Forecasting, Second Edition presents the underlying theories of time series analysis that are needed to analyze time-oriented data and construct real-world short- to medium-term statistical forecasts. Authored by highly-experienced academics and professionals in engineering statistics, the Second Edition features discussions on both popular and modern time series methodologies as well as an introduction to Bayesian methods in forecasting. Introduction to Time Series Analysis and Forecasting, Second Edition also includes: Over 300 exercises from diverse disciplines including health care, environmental studies, engineering, and finance More than 50 programming algorithms using JMP®, SAS®, and R that illustrate the theory and practicality of forecasting techniques in the context of time-oriented data New material on frequency domain and spatial temporal data analysis Expanded coverage of the variogram and spectrum with applications as well as transfer and intervention model functions A supplementary website featuring PowerPoint® slides, data sets, and select solutions to the problems Introduction to Time Series Analysis and Forecasting, Second Edition is an ideal textbook upper-undergraduate and graduate-levels courses in forecasting and time series. The book is also an excellent reference for practitioners and researchers who need to model and analyze time series data to generate forecasts.



Advanced Computing And Intelligent Technologies


Advanced Computing And Intelligent Technologies
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Author : Monica Bianchini
language : en
Publisher: Springer Nature
Release Date : 2021-07-21

Advanced Computing And Intelligent Technologies written by Monica Bianchini and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-21 with Technology & Engineering categories.


This book gathers selected high-quality research papers presented at International Conference on Advanced Computing and Intelligent Technologies (ICACIT 2021) held at NCR New Delhi, India, during March 20–21, 2021, jointly organized by Galgotias University, India, and Department of Information Engineering and Mathematics Università Di Siena, Italy. It discusses emerging topics pertaining to advanced computing, intelligent technologies, and networks including AI and machine learning, data mining, big data analytics, high-performance computing network performance analysis, Internet of things networks, wireless sensor networks, and others. The book offers a valuable asset for researchers from both academia and industries involved in advanced studies.



Rapidminer


Rapidminer
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Author : Markus Hofmann
language : en
Publisher: CRC Press
Release Date : 2016-04-19

Rapidminer written by Markus Hofmann and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-19 with Business & Economics categories.


Powerful, Flexible Tools for a Data-Driven World As the data deluge continues in today’s world, the need to master data mining, predictive analytics, and business analytics has never been greater. These techniques and tools provide unprecedented insights into data, enabling better decision making and forecasting, and ultimately the solution of increasingly complex problems. Learn from the Creators of the RapidMiner Software Written by leaders in the data mining community, including the developers of the RapidMiner software, RapidMiner: Data Mining Use Cases and Business Analytics Applications provides an in-depth introduction to the application of data mining and business analytics techniques and tools in scientific research, medicine, industry, commerce, and diverse other sectors. It presents the most powerful and flexible open source software solutions: RapidMiner and RapidAnalytics. The software and their extensions can be freely downloaded at www.RapidMiner.com. Understand Each Stage of the Data Mining Process The book and software tools cover all relevant steps of the data mining process, from data loading, transformation, integration, aggregation, and visualization to automated feature selection, automated parameter and process optimization, and integration with other tools, such as R packages or your IT infrastructure via web services. The book and software also extensively discuss the analysis of unstructured data, including text and image mining. Easily Implement Analytics Approaches Using RapidMiner and RapidAnalytics Each chapter describes an application, how to approach it with data mining methods, and how to implement it with RapidMiner and RapidAnalytics. These application-oriented chapters give you not only the necessary analytics to solve problems and tasks, but also reproducible, step-by-step descriptions of using RapidMiner and RapidAnalytics. The case studies serve as blueprints for your own data mining applications, enabling you to effectively solve similar problems.



Clustering


Clustering
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Author : Rui Xu
language : en
Publisher: John Wiley & Sons
Release Date : 2008-11-03

Clustering written by Rui Xu and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-11-03 with Mathematics categories.


This is the first book to take a truly comprehensive look at clustering. It begins with an introduction to cluster analysis and goes on to explore: proximity measures; hierarchical clustering; partition clustering; neural network-based clustering; kernel-based clustering; sequential data clustering; large-scale data clustering; data visualization and high-dimensional data clustering; and cluster validation. The authors assume no previous background in clustering and their generous inclusion of examples and references help make the subject matter comprehensible for readers of varying levels and backgrounds.



Balance Of Payments Manual


Balance Of Payments Manual
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Author : International Monetary Fund
language : en
Publisher: International Monetary Fund
Release Date : 2005-11-16

Balance Of Payments Manual written by International Monetary Fund and has been published by International Monetary Fund this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-11-16 with Business & Economics categories.


The fifth edition of Balance of Payments Manual, issued in 1993, presents revised and updated standards for concepts, definitions, classifications, and conventions for compilation of balance of payments and international investment position statistics that reflect the widespread changes that have taken place in international transactions since the fouth edition was published in 1977. As the international standard, the Manual serves as a guide for IMF member countries that regularly report balance of payments data to the IMF. The Manual contains significantly expanded and restructured coverage of financial flows and stocks and international transactions in services. Harmonization with the System of National Accounts and other IMF statistical systems is also greatly increased. See also companion volumes, the Balance of Payments Compilation Guide and the Balance of Payments Textbook.



Encyclopedia Of Machine Learning


Encyclopedia Of Machine Learning
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Author : Claude Sammut
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-03-28

Encyclopedia Of Machine Learning written by Claude Sammut and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-03-28 with Computers categories.


This comprehensive encyclopedia, in A-Z format, provides easy access to relevant information for those seeking entry into any aspect within the broad field of Machine Learning. Most of the entries in this preeminent work include useful literature references.



Data Mining In Finance


Data Mining In Finance
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Author : Boris Kovalerchuk
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-04-18

Data Mining In Finance written by Boris Kovalerchuk and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-04-18 with Computers categories.


Data Mining in Finance presents a comprehensive overview of major algorithmic approaches to predictive data mining, including statistical, neural networks, ruled-based, decision-tree, and fuzzy-logic methods, and then examines the suitability of these approaches to financial data mining. The book focuses specifically on relational data mining (RDM), which is a learning method able to learn more expressive rules than other symbolic approaches. RDM is thus better suited for financial mining, because it is able to make greater use of underlying domain knowledge. Relational data mining also has a better ability to explain the discovered rules - an ability critical for avoiding spurious patterns which inevitably arise when the number of variables examined is very large. The earlier algorithms for relational data mining, also known as inductive logic programming (ILP), suffer from a relative computational inefficiency and have rather limited tools for processing numerical data. Data Mining in Finance introduces a new approach, combining relational data mining with the analysis of statistical significance of discovered rules. This reduces the search space and speeds up the algorithms. The book also presents interactive and fuzzy-logic tools for `mining' the knowledge from the experts, further reducing the search space. Data Mining in Finance contains a number of practical examples of forecasting S&P 500, exchange rates, stock directions, and rating stocks for portfolio, allowing interested readers to start building their own models. This book is an excellent reference for researchers and professionals in the fields of artificial intelligence, machine learning, data mining, knowledge discovery, and applied mathematics.



European Archaeology Abroad


European Archaeology Abroad
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Author : S.J. van der Linde
language : en
Publisher: Sidestone Press
Release Date : 2013-10-01

European Archaeology Abroad written by S.J. van der Linde and has been published by Sidestone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-01 with Social Science categories.


What are European archaeologists doing abroad? What have they been doing there for the past three to four centuries? Are they doing things differently nowadays? To address these questions, this book explores the scope, impact and ethics of European archaeological policies and practices in the Mediterranean area, the Near East, sub-Saharan Africa, Asia and Latin America. Acknowledging that international and transcultural projects have a range of different stakeholders, the first part of this book aims to identify some of the values and motivations behind different European archaeologies abroad. This is done by providing thorough historical overviews on a range of European countries, including France, Spain, Germany, Belgium, the Netherlands and Poland. But how are these values translated, through socio-political, theoretical and administrative frameworks, unto local circumstances in host countries? And how are these archaeological activities received locally? The second part of this book attempts to answer these questions through a range of historical and contemporary case studies, in Africa, in Asia, in South America, in the Near East and in Europe. The third part of the book offers several critical reflections on European values, motivations and collaboration projects, as perceived by archaeological heritage professionals based in, and/or working in Senegal, Sudan, Somaliland, Colombia, and the Near East. This collection of historical overviews, contemporary case studies and critical reflections focuses on the challenging relationships between archaeological practices and policies, including the requirements and wishes of archaeologists, of local communities and of other stakeholders in Europe and in the host countries. In addition to researchers and students, this book should be of interest to practicing archaeologists, heritage professionals and policy makers the world over, as they seek to reach better informed decisions regarding archaeological projects and international collaboration. This publication was produced in the framework of the ACE project – “Archaeology in Contemporary Europe. Professional Practices and Public Outreach”, with the support of the Culture 2007-2013 programme of the European Commission.



High Performance Modelling And Simulation For Big Data Applications


High Performance Modelling And Simulation For Big Data Applications
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Author : Joanna Kołodziej
language : en
Publisher: Springer
Release Date : 2019-03-25

High Performance Modelling And Simulation For Big Data Applications written by Joanna Kołodziej and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-25 with Computers categories.


This open access book was prepared as a Final Publication of the COST Action IC1406 “High-Performance Modelling and Simulation for Big Data Applications (cHiPSet)“ project. Long considered important pillars of the scientific method, Modelling and Simulation have evolved from traditional discrete numerical methods to complex data-intensive continuous analytical optimisations. Resolution, scale, and accuracy have become essential to predict and analyse natural and complex systems in science and engineering. When their level of abstraction raises to have a better discernment of the domain at hand, their representation gets increasingly demanding for computational and data resources. On the other hand, High Performance Computing typically entails the effective use of parallel and distributed processing units coupled with efficient storage, communication and visualisation systems to underpin complex data-intensive applications in distinct scientific and technical domains. It is then arguably required to have a seamless interaction of High Performance Computing with Modelling and Simulation in order to store, compute, analyse, and visualise large data sets in science and engineering. Funded by the European Commission, cHiPSet has provided a dynamic trans-European forum for their members and distinguished guests to openly discuss novel perspectives and topics of interests for these two communities. This cHiPSet compendium presents a set of selected case studies related to healthcare, biological data, computational advertising, multimedia, finance, bioinformatics, and telecommunications.