Data Analytics for Social Microblogging Platforms
Data Analytics for Social Microblogging Platforms

Author: Soumi Dutta

Publisher: Academic Press

Published: 2022-11-04

Total Pages: 330

ISBN-13: 0323972306

DOWNLOAD EBOOK

Data Analysis for Social Microblogging Platforms explores the nature of microblog datasets, also covering the larger field which focuses on information, data and knowledge in the context of natural language processing. The book investigates a range of significant computational techniques which enable data and computer scientists to recognize patterns in these vast datasets, including machine learning, data mining algorithms, rough set and fuzzy set theory, evolutionary computations, combinatorial pattern matching, clustering, summarization and classification. Chapters focus on basic online micro blogging data analysis research methodologies, community detection, summarization application development, performance evaluation and their applications in big data. - Investigates various methodologies and algorithms for data summarization, clustering and classification - Covers both theory and practical applications from around the world, across all related disciplines of Intelligent Information Filtering and Organization Systems - Explores different challenges and issues related to spam filtering, attribute selection, and classification for large datasets

Data Science and Analytics
Data Science and Analytics

Author: Brajendra Panda

Publisher: Springer

Published: 2018-03-07

Total Pages: 666

ISBN-13: 9811085277

DOWNLOAD EBOOK

This book constitutes the refereed proceedings of the 4th International Conference on Recent Developments in Science, Engineering and Technology, REDSET 2017, held in Gurgaon, India, in October 2017. The 66 revised full papers presented were carefully reviewed and selected from 329 submissions. The papers are organized in topical sections on big data analysis, data centric programming, next generation computing, social and web analytics, security in data science analytics.

Big Data Analytics for Large-Scale Multimedia Search
Big Data Analytics for Large-Scale Multimedia Search

Author: Stefanos Vrochidis

Publisher: John Wiley & Sons

Published: 2019-05-28

Total Pages: 372

ISBN-13: 1119376971

DOWNLOAD EBOOK

A timely overview of cutting edge technologies for multimedia retrieval with a special emphasis on scalability The amount of multimedia data available every day is enormous and is growing at an exponential rate, creating a great need for new and more efficient approaches for large scale multimedia search. This book addresses that need, covering the area of multimedia retrieval and placing a special emphasis on scalability. It reports the recent works in large scale multimedia search, including research methods and applications, and is structured so that readers with basic knowledge can grasp the core message while still allowing experts and specialists to drill further down into the analytical sections. Big Data Analytics for Large-Scale Multimedia Search covers: representation learning, concept and event-based video search in large collections; big data multimedia mining, large scale video understanding, big multimedia data fusion, large-scale social multimedia analysis, privacy and audiovisual content, data storage and management for big multimedia, large scale multimedia search, multimedia tagging using deep learning, interactive interfaces for big multimedia and medical decision support applications using large multimodal data. Addresses the area of multimedia retrieval and pays close attention to the issue of scalability Presents problem driven techniques with solutions that are demonstrated through realistic case studies and user scenarios Includes tables, illustrations, and figures Offers a Wiley-hosted BCS that features links to open source algorithms, data sets and tools Big Data Analytics for Large-Scale Multimedia Search is an excellent book for academics, industrial researchers, and developers interested in big multimedia data search retrieval. It will also appeal to consultants in computer science problems and professionals in the multimedia industry.

Complex Data Analytics with Formal Concept Analysis
Complex Data Analytics with Formal Concept Analysis

Author: Rokia Missaoui

Publisher: Springer Nature

Published: 2022-06-29

Total Pages: 277

ISBN-13: 3030932788

DOWNLOAD EBOOK

FCA is an important formalism that is associated with a variety of research areas such as lattice theory, knowledge representation, data mining, machine learning, and semantic Web. It is successfully exploited in an increasing number of application domains such as software engineering, information retrieval, social network analysis, and bioinformatics. Its mathematical power comes from its concept lattice formalization in which each element in the lattice captures a formal concept while the whole structure represents a conceptual hierarchy that offers browsing, clustering and association rule mining. Complex data analytics refers to advanced methods and tools for mining and analyzing data with complex structures such as XML/Json data, text and image data, multidimensional data, graphs, sequences and streaming data. It also covers visualization mechanisms used to highlight the discovered knowledge. This edited book examines a set of important and relevant research directions in complex data management, and updates the contribution of the FCA community in analyzing complex and large data such as knowledge graphs and interlinked contexts. For example, Formal Concept Analysis and some of its extensions are exploited, revisited and coupled with recent processing parallel and distributed paradigms to maximize the benefits in analyzing large data.

Computational Intelligence and Data Analytics
Computational Intelligence and Data Analytics

Author: Rajkumar Buyya

Publisher: Springer Nature

Published: 2022-09-01

Total Pages: 616

ISBN-13: 981193391X

DOWNLOAD EBOOK

The book presents high-quality research papers presented at the International Conference on Computational Intelligence and Data Analytics (ICCIDA 2022), organized by the Department of Information Technology, Vasavi College of Engineering, Hyderabad, India in January 2022. ICCIDA provides an excellent platform for exchanging knowledge with the global community of scientists, engineers, and educators. This volume covers cutting-edge research in two prominent areas – computational intelligence and data analytics, and allied research areas.

Business Information Systems Workshops
Business Information Systems Workshops

Author: Witold Abramowicz

Publisher: Springer

Published: 2017-01-21

Total Pages: 447

ISBN-13: 331952464X

DOWNLOAD EBOOK

This book constitutes revised papers from the six workshops held at the 19th International Conference on Business Information Systems, BIS 2016, held in Leipzig, Germany, in July 2016. The workshops included in this volume are: * The 8th Workshop on Applications of Knowledge-Based Technologies in Business - AKTB2016 accepted 7 papers from 14 submissions and features 1 invited talk. * The 7th Workshop on Business and IT Alignment - BITA 2016 selected 6 papers from 12 submissions. * The Workshop on Big Data and Business Analytics Ecosystems - DeBASE 2016 has 4 papers in this volume. * The First International Workshop on Intelligent Data Analysis in Integrated Social CRM - iCRM 2016 features 5 contributions. * The Second International Workshop on Digital Enterprise Engineering and Architecture - IDEA 2016 contributes 4 papers to this volume. * The First International Workshop on Integrative Analysis and Computation of Life Data for Smart Ecosystems - INCLuDE 2016 publishes 4 research papers. In addition, BIS hosted a Doctoral Consortium which was organized in a workshop formula. The best papers from this event are included in the book. In total, the workshops had 84 submissions of which 38 were accepted for publication.

Big Data Analytics
Big Data Analytics

Author: Vasudha Bhatnagar

Publisher: Springer

Published: 2013-12-06

Total Pages: 208

ISBN-13: 3319036890

DOWNLOAD EBOOK

This book constitutes the thoroughly refereed conference proceedings of the Second International Conference on Big Data Analytics, BDA 2013, held in Mysore, India, in December 2013. The 13 revised full papers were carefully reviewed and selected from 49 submissions and cover topics on mining social media data, perspectives on big data analysis, graph analysis, big data in practice.

Designing and Developing Innovative Mobile Applications
Designing and Developing Innovative Mobile Applications

Author: Samanta, Debabrata

Publisher: IGI Global

Published: 2023-04-12

Total Pages: 456

ISBN-13: 1668485842

DOWNLOAD EBOOK

Since mobile communication has become so ingrained in our daily lives, many people find it difficult to function without a cellphone. When the phone first came out, the only commonly used features were calling and sending text messages (texts). The intelligent mobile phone has proven to be a multipurpose tool that works best for communication and aids in learning, earning, and having fun. This in turn prompted several developers to consider creating mobile applications. Designing and Developing Innovative Mobile Applications focuses on the fundamentals of the Android OS and its device features, the deployment of any Android application, and the activities and intents of Android programming. Covering key topics such as mobile pages, software development, and communication, this premier reference source is ideal for computer scientists, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.

Urban Social Listening
Urban Social Listening

Author: Justin B. Hollander

Publisher: Springer

Published: 2016-08-16

Total Pages: 103

ISBN-13: 1137594918

DOWNLOAD EBOOK

This book analyses new software tools and social media data that can be used to explore the attitudes of people in urban places. It reports on the findings of several research projects that have have experimented with using microblogging data in conjunction with diverse quantitative and qualitative methods, including content analysis and advanced multivariate statistics. Applied researchers, planners and policy makers have only recently begun to explore the potential of Big Data to help understand social attitudes and to potentially inform local policy and development decisions. This book provides an original analysis into how Twitter can be used to describe the urban experience and people's perception of place, as well as offering significant implications for public policy. It will be of great interest to researchers in human geography, social media, cultural studies and public policy.