Data Mining and Big Data

This book PDF is perfect for those who love Computers genre, written by Ying Tan and published by Springer which was released on 25 July 2019 with total hardcover pages 340. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Data Mining and Big Data books below.

Data Mining and Big Data
Data Mining and Big Data
Author : Ying Tan
File Size : 53,7 Mb
Publisher : Springer
Language : English
Release Date : 25 July 2019
ISBN : 9789813295636
Pages : 340 pages
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Data Mining and Big Data by Ying Tan Book PDF Summary

This book constitutes the refereed proceedings of the 4th International Conference on Data Mining and Big Data, DMBD 2019, held in Chiang Mai, Thailand, in July 2019. The 26 full papers and 8 short papers presented in this volume were carefully reviewed and selected from 79 submissions. They are organized in topical sections named: data analysis; prediction; clustering; classification; mining pattern; mining tasks.

Data Mining and Big Data

Data Mining and Big Data by Ying Tan,Yuhui Shi

This book constitutes the refereed proceedings of the 4th International Conference on Data Mining and Big Data, DMBD 2019, held in Chiang Mai, Thailand, in July 2019. The 26 full papers and 8 short papers presented in this volume were carefully reviewed and selected from 79 submissions. They are organized in topical sections named: data

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Predictive Analytics Data Mining and Big Data

Predictive Analytics Data Mining and Big Data by S. Finlay

This in-depth guide provides managers with a solid understanding of data and data trends, the opportunities that it can offer to businesses, and the dangers of these technologies. Written in an accessible style, Steven Finlay provides a contextual roadmap for developing solutions that deliver benefits to organizations.

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Big Data Data Mining and Machine Learning by Jared Dean

With big data analytics comes big insights into profitability Big data is big business. But having the data and the computational power to process it isn't nearly enough to produce meaningful results. Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners is a complete resource

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Mining of Massive Datasets by Jure Leskovec,Anand Rajaraman,Jeffrey David Ullman

Now in its second edition, this book focuses on practical algorithms for mining data from even the largest datasets.

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Transparent Data Mining for Big and Small Data by Tania Cerquitelli,Daniele Quercia,Frank Pasquale

This book focuses on new and emerging data mining solutions that offer a greater level of transparency than existing solutions. Transparent data mining solutions with desirable properties (e.g. effective, fully automatic, scalable) are covered in the book. Experimental findings of transparent solutions are tailored to different domain experts, and

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Pocket Data Mining by Mohamed Medhat Gaber,Frederic Stahl,João Bártolo Gomes

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 feasibility of what has been termed as Mobile Data

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Innovations in Big Data Mining and Embedded Knowledge

Innovations in Big Data Mining and Embedded Knowledge by Anna Esposito,Antonietta M. Esposito,Lakhmi C. Jain

This book addresses the usefulness of knowledge discovery through data mining. With this aim, contributors from different fields propose concrete problems and applications showing how data mining and discovering embedded knowledge from raw data can be beneficial to social organizations, domestic spheres, and ICT markets. Data mining or knowledge discovery

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Data Mining in Large Sets of Complex Data

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The amount and the complexity of the data gathered by current enterprises are increasing at an exponential rate. Consequently, the analysis of Big Data is nowadays a central challenge in Computer Science, especially for complex data. For example, given a satellite image database containing tens of Terabytes, how can we

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