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020 _a9789811312809
_9
024 7 _a10.1007/978-981-13-1280-9
_2doi
040 _bspa
_dES-MaUEC
050 4 _aQ325.5
_b2019 EB
245 0 0 _aRecent Developments in Machine Learning and Data Analytics :
_bIC3 2018
_cedited by Jugal Kalita, Valentina Emilia Balas, Samarjeet Borah, Ratika Pradhan.
264 1 _aSingapore
_bSpringer Singapore :
_bImprint: Springer
_c2019.
300 _a1 recurso en línea (XIV, 530 páginas)
_b233 ilustraciones
347 _atext file
_bPDF
490 0 _aAdvances in Intelligent Systems and Computing
_x2194-5357
_v740
505 0 _aChapter 1: MaNaDAC:An Effective Alert Correlation Method -- Chapter 2: WSD for Assamese Language -- Chapter 3: Fuzzy Clustering with Ensemble Classification techniques to improve the Customer Churn Prediction in Telecommunication Sector -- Chapter 4: Interval-valued complex fuzzy concept lattice and its granular decomposition -- Chapter 5: SBFP-growth: A Step to remove the bottleneck of FP-tree -- Chapter 6: Combining Multi-level Contexts of Superpixel using Convolutional Neural Networks to perform Natural Scene Labeling -- Chapter 7: A fast Algorithm for Automatic Segmentation of Pancreas Histological Images for Glucose Intolerance Identification -- Chapter 8: Aptitude Question Paper Generator and Answer Verification System -- Chapter 9: Elephant Herding Algorithm for Clustering -- Chapter 10: Affinity Maturation of Homophones in Word-Level Speech Recognition -- Chapter 11: Fusion based Underwater Image Enhancement by Weight Map Techniques -- Chapter 12: IoT Enabled Ubiquitous Healthcare Data Acquisition and Monitoring System for Personal and Medical usage Powered by Cloud Application: An Architectural Overview -- Chapter 13: Analysis and Prediction of City Scale Transportation System Using XGBOOST Technique -- Chapter 14: Sensor Selection and Data Fusion Approach for IoT Applications -- Chapter 15: An overview of Hadoop Mapreduce, Spark and Scala-ble Graph Processing Architecture -- Chapter 16: Analyzing Social Trend towards Girl Child in India: A Machine Intelligence based Approach.
520 3 _aThis book presents high-quality papers from an international forum for research on computational approaches to learning. It includes current research and findings from various research labs, universities and institutions that may lead to development of marketable products. It also provides solid support for these findings in the form of empirical studies, theoretical analysis, or comparison to psychological phenomena. Further, it features work that shows how to apply learning methods to solve important application problems as well as how machine learning research is conducted. The book is divided into two main parts: Machine Learning Techniques, which covers machine learning-related research and findings; and, Data Analytics, which introduces recent developments in this domain. Additionally, the book includes work on data analytics using machine learning techniques.
650 7 _aAprendizaje automático
_2embne
_9166090
700 1 _aKalita, Jugal.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aBalas, Valentina Emilia
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_996925
700 1 _aBorah, Samarjeet.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aPradhan, Ratika.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
_9106996
776 0 8 _iPrinted edition:
_z9789811312793
776 0 8 _iPrinted edition:
_z9789811312816
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-13-1280-9
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
490 0 _aIntelligent Technologies and Robotics (Springer-42732)
942 _2lcc
_cLE
988 _aPrimersemestre_2019_Robotics
998 _aSI
_a_alco
_a_vill
_b10/2019
_cm
_dz
_ea
_feng
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_h0
999 _c111331
_d111331
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