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Semantic Acquisition Games

Harnessing Manpower for Creating Semantics

de Jakub Šimko, Mária Bieliková ...

Series series Computer Science (R0)
Many applications depend on the effective acquisition of semantic metadata, and this state-of-the-art volume provides extensive coverage of the field of semantics acquisition games (SAGs). SAGs are a part of the crowdsourcing approach family and the authors analyze their role as tools for acquisition of resource metadata and domain models. Three case studies of SAG-based semantics acquisition ... Leer más

$909 MXN

Many applications depend on the effective acquisition of semantic metadata, and this state-of-the-art volume provides extensive coverage of the field of semantics acquisition games (SAGs). SAGs are a part of the crowdsourcing approach family and the authors analyze their role as tools for acquisition of resource metadata and domain models. Three case studies of SAG-based semantics acquisition
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Introduction to Information Retrieval

de Christopher D. Manning, Prabhakar Raghavan, Hinrich Schütze ...

Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the ... Leer más

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Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the
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Natural Language Annotation for Machine Learning

A Guide to Corpus-Building for Applications

de James Pustejovsky, Amber Stubbs ...

Create your own natural language training corpus for machine learning. Whether you’re working with English, Chinese, or any other natural language, this hands-on book guides you through a proven annotation development cycle—the process of adding metadata to your training corpus to help ML algorithms work more efficiently. You don’t need any programming or linguistics experience to get started ... Leer más

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Create your own natural language training corpus for machine learning. Whether you’re working with English, Chinese, or any other natural language, this hands-on book guides you through a proven annotation development cycle—the process of adding metadata to your training corpus to help ML algorithms work more efficiently. You don’t need any programming or linguistics experience to get started
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Data Science and Big Data Analytics

Discovering, Analyzing, Visualizing and Presenting Data

Edición de EMC Education Services ...

Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate ... Leer más

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Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate
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Sentiment Analysis and Opinion Mining

de Bing Liu ...

Series series Synthesis Lectures on Human Language Technologies
Sentiment analysis and opinion mining is the field of study that analyzes people's opinions, sentiments, evaluations, attitudes, and emotions from written language. It is one of the most active research areas in natural language processing and is also widely studied in data mining, Web mining, and text mining. In fact, this research has spread outside of computer science to the management sciences ... Leer más

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Sentiment analysis and opinion mining is the field of study that analyzes people's opinions, sentiments, evaluations, attitudes, and emotions from written language. It is one of the most active research areas in natural language processing and is also widely studied in data mining, Web mining, and text mining. In fact, this research has spread outside of computer science to the management sciences
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Handbook of Data Quality

Research and Practice

Edición de Shazia Sadiq ...

Series series Computer Science (R0)
The issue of data quality is as old as data itself. However, the proliferation of diverse, large-scale and often publically available data on the Web has increased the risk of poor data quality and misleading data interpretations. On the other hand, data is now exposed at a much more strategic level e.g. through business intelligence systems, increasing manifold the stakes involved for individuals ... Leer más

$909 MXN

The issue of data quality is as old as data itself. However, the proliferation of diverse, large-scale and often publically available data on the Web has increased the risk of poor data quality and misleading data interpretations. On the other hand, data is now exposed at a much more strategic level e.g. through business intelligence systems, increasing manifold the stakes involved for individuals
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Web and Network Data Science

Modeling Techniques in Predictive Analytics

de Thomas Miller ...

Series series FT Press Analytics
Master modern web and network data modeling: both theory and applications. In Web and Network Data Science, a top faculty member of Northwestern University’s prestigious analytics program presents the first fully-integrated treatment of both the business and academic elements of web and network modeling for predictive analytics.Some books in this field focus either entirely on business issues (e.g ... Leer más

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Master modern web and network data modeling: both theory and applications. In Web and Network Data Science, a top faculty member of Northwestern University’s prestigious analytics program presents the first fully-integrated treatment of both the business and academic elements of web and network modeling for predictive analytics.Some books in this field focus either entirely on business issues (e.g
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Statistical Methods for Recommender Systems

de Deepak K. Agarwal, Bee-Chung Chen ...

Designing algorithms to recommend items such as news articles and movies to users is a challenging task in numerous web applications. The crux of the problem is to rank items based on users' responses to different items to optimize for multiple objectives. Major technical challenges are high dimensional prediction with sparse data and constructing high dimensional sequential designs to collect ... Leer más

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Designing algorithms to recommend items such as news articles and movies to users is a challenging task in numerous web applications. The crux of the problem is to rank items based on users' responses to different items to optimize for multiple objectives. Major technical challenges are high dimensional prediction with sparse data and constructing high dimensional sequential designs to collect
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Data Mining Methods for the Content Analyst

An Introduction to the Computational Analysis of Content

de Kalev Leetaru ...

Series series Routledge Communication Series
With continuous advancements and an increase in user popularity, data mining technologies serve as an invaluable resource for researchers across a wide range of disciplines in the humanities and social sciences. In this comprehensive guide, author and research scientist Kalev Leetaru introduces the approaches, strategies, and methodologies of current data mining techniques, offering insights for ... Leer más

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With continuous advancements and an increase in user popularity, data mining technologies serve as an invaluable resource for researchers across a wide range of disciplines in the humanities and social sciences. In this comprehensive guide, author and research scientist Kalev Leetaru introduces the approaches, strategies, and methodologies of current data mining techniques, offering insights for
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Open Data for Education

Linked, Shared, and Reusable Data for Teaching and Learning

Edición de Dmitry Mouromtsev, Mathieu d’Aquin ...

Series series Computer Science (R0)
This volume comprises a collection of papers presented at an Open Data in Education Seminar and the LILE workshops during 2014-2015.In the first part of the book, two chapters give different perspectives on the current use of linked and open data in education, including the use of technology and the topics that are being covered.The second part of the book focuses on the specific, practical ... Leer más

$909 MXN

This volume comprises a collection of papers presented at an Open Data in Education Seminar and the LILE workshops during 2014-2015.In the first part of the book, two chapters give different perspectives on the current use of linked and open data in education, including the use of technology and the topics that are being covered.The second part of the book focuses on the specific, practical
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Data and Information Quality

Dimensions, Principles and Techniques

de Carlo Batini, Monica Scannapieco ...

Series series Computer Science (R0)
This book provides a systematic and comparative description of the vast number of research issues related to the quality of data and information. It does so by delivering a sound, integrated and comprehensive overview of the state of the art and future development of data and information quality in databases and information systems.To this end, it presents an extensive description of the ... Leer más

$2,182 MXN

This book provides a systematic and comparative description of the vast number of research issues related to the quality of data and information. It does so by delivering a sound, integrated and comprehensive overview of the state of the art and future development of data and information quality in databases and information systems.To this end, it presents an extensive description of the
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Indexing

From Thesauri to the Semantic Web

de Piet de Keyser ...

Series series Chandos Information Professional Series
Indexing consists of both novel and more traditional techniques. Cutting-edge indexing techniques, such as automatic indexing, ontologies, and topic maps, were developed independently of older techniques such as thesauri, but it is now recognized that these older methods also hold expertise.Indexing describes various traditional and novel indexing techniques, giving information professionals and ... Leer más

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Indexing consists of both novel and more traditional techniques. Cutting-edge indexing techniques, such as automatic indexing, ontologies, and topic maps, were developed independently of older techniques such as thesauri, but it is now recognized that these older methods also hold expertise.Indexing describes various traditional and novel indexing techniques, giving information professionals and
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Introduction to Information Retrieval

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Data Science and Big Data Analytics

Sentiment Analysis and Opinion Mining

Handbook of Data Quality

Web and Network Data Science

Statistical Methods for Recommender Systems

Data Mining Methods for the Content Analyst

Open Data for Education

Data and Information Quality

Indexing