Soft Computing in Big Data Processing

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Lee, Keon Myung (Επιμελητής έκδοσης), Park, Seung-Jong (Επιμελητής έκδοσης), Lee, Jee-Hyong (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2014.
• Σειρά: Advances in Intelligent Systems and Computing, 271
• Θέματα: Engineering.; Artificial intelligence.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).

 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. . 

 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.