000 04394nam a22004935i 4500
001 978-3-319-05527-5
003 DE-He213
005 20200421111842.0
007 cr nn 008mamaa
008 140304s2014 gw | s |||| 0|eng d
020 _a9783319055275
_9978-3-319-05527-5
024 7 _a10.1007/978-3-319-05527-5
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
245 1 0 _aSoft Computing in Big Data Processing
_h[electronic resource] /
_cedited by Keon Myung Lee, Seung-Jong Park, Jee-Hyong Lee.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aX, 111 p. 44 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAdvances in Intelligent Systems and Computing,
_x2194-5357 ;
_v271
505 0 _aExtraction 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 _aBig 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 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aComputational intelligence.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence (incl. Robotics).
700 1 _aLee, Keon Myung.
_eeditor.
700 1 _aPark, Seung-Jong.
_eeditor.
700 1 _aLee, Jee-Hyong.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319055268
830 0 _aAdvances in Intelligent Systems and Computing,
_x2194-5357 ;
_v271
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-05527-5
912 _aZDB-2-ENG
942 _cEBK
999 _c55638
_d55638