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Data Mining for the Social Sciences

incorporate data mining methodologies in their analytical toolkits. Data Mining for the Social Sciences demystifies the process by describing the;

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Data Mining for the Social Sciences

incorporate data mining methodologies in their analytical toolkits. Data Mining for the Social Sciences demystifies the process by describing the;

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Knowledge Discovery in the Social Sciences

Knowledge Discovery in the Social Sciences helps readers find valid, meaningful, and useful information. It is written for researchers and;

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Knowledge Discovery in the Social Sciences

Knowledge Discovery in the Social Sciences helps readers find valid, meaningful, and useful information. It is written for researchers and;

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Social Big Data Mining

This book focuses on the basic concepts and the related technologies of data mining for social medial. Topics include: big data and social;

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Social Big Data Mining

This book focuses on the basic concepts and the related technologies of data mining for social medial. Topics include: big data and social;

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Scientometrics for the Humanities and Social Sciences

Scientometrics for the Humanities and Social Sciences is the first ever book on scientometrics that deals with the historical development;

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Scientometrics for the Humanities and Social Sciences

Scientometrics for the Humanities and Social Sciences is the first ever book on scientometrics that deals with the historical development;

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Sentiment Analysis and Opinion Mining

mining, Web mining, and text mining. In fact, this research has spread outside of computer science to the management sciences and social sciences;

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Data Mining for Systems Biology

sciences, as well as for the scientists and engineers who are working on developing data-driven techniques, such as databases, data sciences, data;

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Social sciences via network analysis and computation

in network analysis, machine learning, data mining, data clustering and classifications in the contents of social sciences. It also covers various;

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Data Mining Methods for the Content Analyst

Leetaru introduces the approaches, strategies, and methodologies of current data mining techniques, offering insights for new and experienced;

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Data Mining Methods for the Content Analyst

Leetaru introduces the approaches, strategies, and methodologies of current data mining techniques, offering insights for new and experienced;

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Cognitive Social Mining Applications in Data Analytics and Forensics

Recently, there has been a rapid increase in interest regarding social network analysis in the data mining community. Cognitive radios are;

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Social Media Mining

understand the basics and potentials of social media mining. It introduces the unique problems arising from social media data and presents;

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Sentiment Analysis and Opinion Mining

mining, Web mining, and text mining. In fact, this research has spread outside of computer science to the management sciences and social sciences;

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Data Mining and Learning Analytics

Addresses the impacts of data mining on education and reviews applications in educational research teaching, and learning This book;

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Trends and Applications in Knowledge Discovery and Data Mining

selected from 179 submissions. The workshops affiliated with PAKDD 2014 include: Data Analytics for Targeted Healthcare, DANTH; Data Mining and;

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Advances in Knowledge Discovery and Data Mining

Data Mining, PAKDD 2011, held in Shenzhen, China in May 2011. The total of 32 revised full papers and 58 revised short papers were carefully;

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Data Mining Methods for Knowledge Discovery

Data Mining Methods for Knowledge Discovery provides an introduction to the data mining methods that are frequently used in the process;

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Data Mining for Social Network Data

to the forefront of information science. This proposed Special Issue on Data Mining for Social Network Data will present a broad range;

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Data-Driven Mining, Learning and Analytics for Secured Smart Cities

for smart cities. This book aims to attract works on multidisciplinary research spanning across the computer science and engineering;

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Introduction to Data Mining for the Life Sciences

Data mining provides a set of new techniques to integrate, synthesize, and analyze tdata, uncovering the hidden patterns that exist within;

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Exploratory Data Analysis in Empirical Research

ideas and examples for cross disciplinary applications of classification and data analysis methods in fields such as data and web mining;

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Text Mining: A Guidebook for the Social Sciences

This practical book provides researchers strategic and practical guidance on using text mining methods to analyze large text collections;

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Mining Text Data

designed such as transfer learning and cross-lingual mining for such cases. Mining Text Data simplifies the content, so that advanced-level;

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Mining Text Data

designed such as transfer learning and cross-lingual mining for such cases. Mining Text Data simplifies the content, so that advanced-level;

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