Soft Computing in Big Data Processing

Big data is an essential key to build a smart world as a meaning of the streaming, continuous integration of large volume and high velocity data covering from all sources to final destinations. The big data range from data mining, data analysis and decision making, by drawing statistical rules and m...

Descripción completa

Guardado en:
Detalles Bibliográficos
Otros Autores: Lee, Keon Myung (ed.), Park, Seung-Jong (ed.), Lee, Jee-Hyong (ed.)
Formato: Libro electrónico
Lenguaje:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2014.
Colección:Advances in Intelligent Systems and Computing, 271
Materias:
Acceso en línea:http://dx.doi.org/10.1007/978-3-319-05527-5
Aporte de:Registro referencial: Solicitar el recurso aquí
LEADER 04125Cam#a22004215i#4500
001 INGC-EBK-000476
003 AR-LpUFI
005 20220927105907.0
007 cr nn 008mamaa
008 140304s2014 gw | s |||| 0|eng d
020 |a 9783319055275 
024 7 |a 10.1007/978-3-319-05527-5  |2 doi 
050 4 |a Q342 
072 7 |a UYQ  |2 bicssc 
072 7 |a COM004000  |2 bisacsh 
245 1 0 |a Soft Computing in Big Data Processing   |h [libro electrónico] /   |c edited by Keon Myung Lee, Seung-Jong Park, Jee-Hyong Lee. 
260 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2014. 
300 |a x, 111 p. :   |b il. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Advances in Intelligent Systems and Computing,  |x 2194-5357 ;  |v 271 
505 0 |a Extraction of Minority Opinion Based on Peculiarity in a Semantic Space Constructed of Free Writing -- System and Its Method for Reusing an Application -- Assessment of Scientific and Innovative Projects: Mathematical Methods and Models for Management Decisions -- Multi-voxel pattern analysis of fMRI based on deep learning methods -- Exploiting No-SQL DB for Implementing Lifelog Mashup Platform -- Using Materialized View as a Service of Scallop4SC for Smart City Application Services -- Technology Analysis from Patent Data using Latent Dirichlet Allocation -- A Novel Method for Technology Forecasting Based on Patent Documents -- A Small World Network for Technological Relationship in Patent Analysis -- Key IPC Codes Extraction Using Classification and Regression Tree Structure. 
520 |a Big data is an essential key to build a smart world as a meaning of the streaming, continuous integration of large volume and high velocity data covering from all sources to final destinations. The big data range from data mining, data analysis and decision making, by drawing statistical rules and mathematical patterns through systematical or automatically reasoning. The big data helps serve our life better, clarify our future and deliver greater value. We can discover how to capture and analyze data. Readers will be guided to processing system integrity and implementing intelligent systems. With intelligent systems, we deal with the fundamental data management and visualization challenges in effective management of dynamic and large-scale data, and efficient processing of real-time and spatio-temporal data. Advanced intelligent systems have led to managing the data monitoring, data processing and decision-making in realistic and effective way. Considering a big size of data, variety of data and frequent changes of data, the intelligent systems basically challenge new data management tasks for integration, visualization, querying and analysis. Connected with powerful data analysis, the intelligent systems will provide a paradigm shift from conventional store and process systems. This book focuses on taking a full advantage of big data and intelligent systems processing. It consists of 11 contributions that feature extraction of minority opinion, method for reusing an application, assessment of scientific and innovative projects, multi-voxel pattern analysis, exploiting No-SQL DB, materialized view, TF-IDF criterion, latent Dirichlet allocation, technology forecasting, small world network, and classification & regression tree structure. This edition is published in original, peer reviewed contributions covering from initial design to final prototypes and authorization. . 
650 0 |a Engineering.  |9 259622 
650 0 |a Computational intelligence.  |9 259845 
650 2 4 |a Artificial Intelligence (incl. Robotics).  |9 259846 
700 1 |a Lee, Keon Myung,   |e ed.  |9 261174 
700 1 |a Park, Seung-Jong,   |e ed.  |9 261175 
700 1 |a Lee, Jee-Hyong,   |e ed.  |9 261176 
776 0 8 |i Printed edition:  |z 9783319055268 
856 4 0 |u http://dx.doi.org/10.1007/978-3-319-05527-5 
912 |a ZDB-2-ENG 
929 |a COM 
942 |c EBK  |6 _ 
950 |a Engineering (Springer-11647) 
999 |a SKV  |c 27904  |d 27904