Social big data mining

✍ Scribed by Hiroshi Ishikawa

Publisher: CRC Press an imprint of Taylor & Francis Group
Year: 2013
Tongue: English
Leaves: 264
Category: Library

No coin nor oath required. For personal study only.

✦ Table of Contents

Content: Social Media. Big Data and Social Data. Hypotheses in the Era of Big Data. Social Big Data Applications. Basic Concepts in Data Mining. Association Rule Mining. Clustering. Classification. Prediction. Web Structure Mining. Web Content Mining. Web Access Log Mining, Information Extraction and Deep Web Mining. Media Mining. Scalability and Outlier Detection.

✦ Subjects

Информатика и вычислительная техника;Искусственный интеллект;Интеллектуальный анализ данных;

📜 SIMILAR VOLUMES

Social Big Data Mining

📁 Social Big Data Mining

✍ Hiroshi Ishikawa (Author) 📂 Library 📅 2015 🏛 CRC Press

This book focuses on the basic concepts and the related technologies of data mining for social medial. Topics include: big data and social data, data mining for making a hypothesis, multivariate analysis for verifying the hypothesis, web mining and media mining, natural language processing, socia

Data Mining and Big Data

📁 Data Mining and Big Data

✍ Ying Tan, Yuhui Shi, Qirong Tang 📂 Library 📅 2018 🏛 Springer International Publishing 🌐 English

This book constitutes the refereed proceedings of the Third International Conference on Data Mining and Big Data, DMBD 2018, held in Shanghai, China, in June 2018. The 74 papers presented in this volume were carefully reviewed and selected from 126 submissions. They are organized in topical secti

Data Mining Approaches for Big Data and

📁 Data Mining Approaches for Big Data and Sentiment Analysis in Social Media (Advances in Data Mining and Database Management)

✍ Brij B Gupta (editor), Dragan Perakovic (editor), Ahmed A Abd El-Latif (editor) 📂 Library 📅 2021 🏛 Engineering Science Reference 🌐 English

Social media sites are constantly evolving with huge amounts of scattered data or big data, which makes it difficult for researchers to trace the information flow. It is a daunting task to extract a useful piece of information from the vast unstructured big data; the disorganized structure of social

Big Data Mining and Complexity

📁 Big Data Mining and Complexity

✍ Brian C. Castellani, Rajeev Rajaram 📂 Library 📅 2022 🏛 SAGE Publications 🌐 English

This book offers a much needed critical introduction to data mining and ‘big data’. Supported by multiple case studies and examples, the authors provide: <ul><li>Digestible overviews of key terms and concepts relevant to using social media data in quantitative research.

Data Mining for Social Network Data

📁 Data Mining for Social Network Data

✍ Nasrullah Memon, Jennifer Jie Xu, David L. Hicks (auth.), Nasrullah Memon, Jenni 📂 Library 📅 2010 🏛 Springer US 🌐 English

Social Network Data Mining: Research Questions, Techniques, and Applications Nasrullah Memon, Jennifer Xu, David L. Hicks and Hsinchun Chen Automatic expansion of a social network using sentiment analysis Hristo Tanev, Bruno Pouliquen, Vanni Zavarella and Ralf Steinberger Automatic mapping of soc

Pocket Data Mining: Big Data on Small De

📁 Pocket Data Mining: Big Data on Small Devices

✍ Mohamed Medhat Gaber, Frederic Stahl, João Bártolo Gomes (auth.) 📂 Library 📅 2014 🏛 Springer International Publishing 🌐 English

Owing to continuous advances in the computational power of handheld devices like smartphones and tablet computers, it has become possible to perform Big Data operations including modern data mining processes onboard these small devices. A decade of research has proved the feasibi