Data Mining for Social Network Data (Memon Nasrullah)(Paperback)

Data Mining for Social Network Data (Memon Nasrullah)(Paperback)

Driven by counter-terrorism efforts, marketing analysis and an explosion in online social networking in recent years, data mining has moved to the forefront of information science. This proposed Special Issue on Data Mining for Social Network Data will present a broad range of recent studies in

Computational Approaches to the Network Science of Teams (Li Liangyue)(Pevná vazba)

This comprehensive review for researchers and practitioners in data mining and social networks surveys recent progress in team science. Focusing on underlying network structures, it presents models and algorithms for characterizing, predicting, optimizing, and explaining team performance, plus key

Principles of Data Mining (Bramer Max)(Paperback)

Data Mining for Business Analytics: Concepts, Techniques and Applications in Python (Shmueli Galit)(Pevná vazba)

Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Python software for illustration Readers will learn how to implement a variety of popular data mining algorithms in Python (a free and

Data Analytics for It Networks: Developing Innovative Use Cases (Garrett John)(Paperback)

Use data analytics to drive innovation and value throughout your network infrastructure Network and IT professionals capture immense amounts of data from their networks. Buried in this data are multiple opportunities to solve and avoid problems, strengthen security, and improve network performance

Statistics: A Tool for Social Research and Data Analysis (Healey Joseph F.)(Paperback)

Extremely student friendly, Healey's STATISTICS: A TOOL FOR SOCIAL RESEARCH AND DATA ANALYSIS, 11e, equips you with a solid understanding of statistical fundamentals and their practical application to current social issues -- no advanced math knowledge required. The text breaks down even the most

Data Management in R: A Guide for Social Scientists (Elff Martin)(Paperback)

An invaluable, step-by-step guide to data management in R for social science researchers. This book shows students how to recode data, combine data from different sources, document data, and import data from statistical packages other than R. It explores both qualitative and quantitative data and

Analytika učení a data mining ve vzdělávání v kontextu systémů pro řízení výuky - Libor Juhaňák

Analytika učení a data mining ve vzdělávání jsou nově se formující výzkumné oblasti zaměřující se na analýzu dat, která pocházejí z různých typů online vzdělávacích systémů. Tato publikace nabízí základní vhled do obou oblastí včetně jejich detailního

Data Mining and Machine Learning: Fundamental Concepts and Algorithms (Zaki Mohammed J.)(Pevná vazba)

The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze patterns and models for all kinds of data in applications ranging from scientific discovery to business analytics. This textbook for senior undergraduate and

Social Network Analysis for Ego-Nets (Crossley Nick)(Paperback)

The ego-net approach to social network analysis, which takes discrete individual actors and their contacts as its starting point, is one of the most widely used approaches in the field. This is the first textbook to take readers through each stage of ego-net research, from conception, through

Predictive Analytics for Marketers: Using Data Mining for Business Advantage (Leventhal Barry)(Paperback)

Predictive analytics has revolutionized marketing practice. It involves using many techniques from data mining, statistics, modelling, machine learning and artificial intelligence, to analyse current data and make predictions about unknown future events. In business terms, this enables companies to

Data Mining: The Textbook (Aggarwal Charu C.)(Pevná vazba)

This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains for data mining issues. It goes beyond the traditional focus on data mining problems to introduce advanced data types

Data Management in R - A Guide for Social Scientists (Elff Martin)(Pevná vazba)

An invaluable, step-by-step guide to data management in R for social science researchers. This book shows students how to recode data, combine data from different sources, document data, and import data from statistical packages other than R. It explores both qualitative and quantitative data and

Social Media for Fashion Marketing: Storytelling in a Digital World (Bendoni Wendy K.)(Paperback)

Social Media for Fashion Marketing enables students to explore how social network platforms continue to alter digital communication and have an impact on the marketing strategies employed by the fashion industry. It also crucially equips readers with the know-how to examine current industry trends

Analytika učení a data mining ve vzdělávání v kontextu systémů pro řízení výuky - Libor Juhaňák - e-kniha

eBook: Analytika učení a data mining ve vzdělávání jsou nově se formující výzkumné oblasti zaměřující se na analýzu dat, která pocházejí z různých typů online vzdělávacích systémů. Tato publikace nabízí základní vhled do obou oblastí včetně jejich detailního

Text Mining with R: A Tidy Approach (Silge Julia)(Paperback)

Much of the data available today is unstructured and text-heavy, making it challenging for analysts to apply their usual data wrangling and visualization tools. With this practical book, you'll explore text-mining techniques with tidytext, a package that authors Julia Silge and David Robinson

Product Analytics: Applied Data Science Techniques for Actionable Consumer Insights (Rodrigues Joanne)(Paperback)

This guide shows how to combine data science with social science to gain unprecedented insight into customer behavior, so you can change it. Joanne Rodrigues-Craig bridges the gap between predictive data science and statistical techniques that reveal why important things happen -- why customers buy

Quantitative Social Science: An Introduction in Stata (Imai Kosuke)(Paperback)

The Stata edition of the groundbreaking textbook on data analysis and statistics for the social sciences and allied fieldsQuantitative analysis is an increasingly essential skill for social science research, yet students in the social sciences and related areas typically receive little training in

Inferential Network Analysis (Cranmer Skyler J.)(Paperback)

This unique textbook provides an introduction to statistical inference with network data. The authors present a self-contained derivation and mathematical formulation of methods, review examples, and real-world applications, as well as provide data and code in the R environment that can be

Wide-Area Data Network Performance Engineering (Cole Robert)(Pevná vazba)

A guide to wide-area data network performance engineering. It discusses the skills needed to design a router network carrying a variety of traffic, including Internet and intranet, over frame relay devices. It covers routers, protocols including TCP/IP, SNA and Novell, protocol behaviour over a

Social Network Analysis (Knoke David)(Paperback)

David Knoke and Song Yang′s Social Network Analysis, Third Edition provides a concise introduction to the concepts and tools of social network analysis. The authors convey key material while at the same time minimizing technical complexities. The examples are simple: sets of 5 or 6 entities such

Data Pipelines Pocket Reference: Moving and Processing Data for Analytics (Densmore James)(Paperback)

Data pipelines are the foundation for success in data analytics. Moving data from numerous diverse sources and transforming it to provide context is the difference between having data and actually gaining value from it. This pocket reference defines data pipelines and explains how they work in

Quantitative Social Science: An Introduction (Imai Kosuke)(Paperback)

An introductory textbook on data analysis and statistics written especially for students in the social sciences and allied fields Quantitative analysis is an increasingly essential skill for social science research, yet students in the social sciences and related areas typically receive little

How to Make Sense of Statistics (Gorard Stephen)(Paperback)

In a new textbook designed for students new to statistics and social data, Stephen Gorard focuses on non-inferential statistics as a basis to ensure students have basic statistical literacy. Understanding why we have to learn statistics and seeing the links between the numbers and real life is a