000 04378nam a22004455i 4500
999 _c120672
_d120672
001 120672
003 ES-MaUEC
005 20230102114054.0
006 a||||fo|||| 00| 0
007 cr nn nnnaamaa
008 200514s2020 si a o |||| 0|eng d
020 _a9789811532849
024 7 _a10.1007/978-981-15-3284-9
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aHM851
_b2020 EB
245 0 0 _aIntelligent Computing and Innovation on Data Science :
_bProceedings of ICTIDS 2019
_cedited by Sheng-Lung Peng, Le Hoang Son, G. Suseendran, D. Balaganesh
250 _aFirst edition
264 1 _aSingapore
_bSpringer Singapore :
_bImprint: Springer
_c2020
300 _a1 recurso en línea (XXXIII, 801 páginas)
_b426 ilustraciones, 258 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _aArchivo de texto
_bPDF
490 0 _aLecture Notes in Networks and Systems
_x2367-3370
_v118
490 0 _aIntelligent Technologies and Robotics (Springer-42732)
505 0 _aComprehensive Guide to Implementation of Data Warehouse in Education -- Computational Biology Tool Towards Studying the Interaction Between Azadirachtin Plant Compound with Cervical Cancer Proteins -- Intelligent Agent Based Organization For Studying the Big Five Personality Traits -- Automatic Pruning of Rules Through Multi-Objective Optimization - A Case Study With a Multi-Objective Cultural Algorithm -- Knowledge Genesis And Dissemination: Impact On Performance In Information Technology Services -- Artificial Intelligence Based Load Balancing In Cloud Computing Environment: A Study -- Implementation of Statistical Data Analytics in Data Science Life Cycle -- A Big Data Analytics-Based Design for Viable Evolution of Retail Sector -- Document Content Analysis Based on Random Forest Algorithm -- Sensing The Prostatectomy in Neuroendocrine Metastatic Active Surveillance in Data Mining Techniques -- Work Load Forecasting Based On Big Data Characteristics In Cloud Systems -- Phrase Extraction Using Pattern Based Bootstrapping Approach -- IOT Based Trash Collection Bin Using Arduino.
520 3 _aThis book covers both basic and high-level concepts relating to the intelligent computing paradigm and data sciences in the context of distributed computing, big data, data sciences, high-performance computing and Internet of Things. It is becoming increasingly important to develop adaptive, intelligent computing-centric, energy-aware, secure and privacy-aware systems in high-performance computing and IoT applications. In this context, the book serves as a useful guide for industry practitioners, and also offers beginners a comprehensive introduction to basic and advanced areas of intelligent computing. Further, it provides a platform for researchers, engineers, academics and industrial professionals around the globe to showcase their recent research concerning recent trends. Presenting novel ideas and stimulating interesting discussions, the book appeals to researchers and practitioners working in the field of information technology and computer science.
988 _aSpringer_Robotics_23062020
650 7 _2embne
_aTecnología de la información
_9147832
700 1 _aPeng, Sheng-Lung
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_0http://id.loc.gov/authorities/names/nb2018000353
_1http://viaf.org/viaf/20151594375405350545
700 1 _aSon, Le Hoang
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_0http://id.loc.gov/authorities/names/n2019188775
_1http://viaf.org/viaf/313256256
700 1 _aSuseendran, G
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_0http://id.loc.gov/authorities/names/n2020183441
_1http://viaf.org/viaf/19158978612955790110
700 1 _aBalaganesh, D
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
_0http://id.loc.gov/authorities/names/no2005046756
_1http://viaf.org/viaf/148105729
776 0 8 _iPrinted edition:
_z9789811532832
776 0 8 _iPrinted edition:
_z9789811532856
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-15-3284-9
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b07/2020
_dz
_eIG
_zSI