000 | 06021nam a22005775i 4500 | ||
---|---|---|---|
001 | 978-981-13-9364-8 | ||
003 | DE-He213 | ||
005 | 20220801213741.0 | ||
007 | cr nn 008mamaa | ||
008 | 190924s2020 si | s |||| 0|eng d | ||
020 |
_a9789811393648 _9978-981-13-9364-8 |
||
024 | 7 |
_a10.1007/978-981-13-9364-8 _2doi |
|
050 | 4 | _aTK5101-5105.9 | |
072 | 7 |
_aTJK _2bicssc |
|
072 | 7 |
_aTEC041000 _2bisacsh |
|
072 | 7 |
_aTJK _2thema |
|
082 | 0 | 4 |
_a621.382 _223 |
245 | 1 | 0 |
_aData Management, Analytics and Innovation _h[electronic resource] : _bProceedings of ICDMAI 2019, Volume 2 / _cedited by Neha Sharma, Amlan Chakrabarti, Valentina Emilia Balas. |
250 | _a1st ed. 2020. | ||
264 | 1 |
_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2020. |
|
300 |
_aXII, 500 p. 229 illus., 177 illus. in color. _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, _x2194-5365 ; _v1016 |
|
505 | 0 | _aSequence Mining Based Support Vector Machine with Decision Tree Approach for Efficient Time Series Data Classification -- Identifying Phishing through Web Content and addressed Bar-Based Features -- A Unified Framework for Outfit Design and Advice -- Contextual Relevance of ICT-Call Modules and its Role in Promoting Employability Skills among Engineering Students - A Study -- A Clinically Applicable Automated Risk Classification model for Pulmonary Nodules -- A Generalized Ensemble Machine Learning Approach for Landslide Susceptibility Modeling -- Comparative evaluation of AVIRIS-NG and Hyperion hyperspectral image for mineral identification -- Real-Time Scheduling Approach for IoT based Home Automation System -- Floating car data map-matching utilizing Dijkstra algorithm -- Calculating AQI using Secondary Pollutants for Smart Air Management System -- Enhanced Prediction of Heart Disease using Particle Swarm Optimization and Rough Sets with Transductive Support Vector Machines Classifier -- DataCan: Robust approach for Genome Cancer Data Analysis -- DataAutism: An Early Detection Framework of Autism in Infants using Data Science -- AnaBus: A Proposed Sampling Retrieval Model for Business and Historical Data Analytics -- Abrupt Scene Change Detection using block based Local Directional Pattern -- A FRAMEWORK FOR WEB ARCHIVING AND GUARANTEED RETRIEVAL -- Business Intelligence through Big Data Analytics, Data Mining and Machine Learning -- The Effect of Big Data on the Quality of Decision-Making in Abu Dhabi Government Organisations -- The Impact of Technology Readiness on the Big Data Adoption among UAE Organizations -- Sports Data Analytics : A Case Study of Off-field Behavior of Players using Statistical Approach -- Phrase Based Information Retrieval Analysis in Various Search Engines Using Machine Learning Algorithms -- The Politics of Artificial Intelligence Behaviour and Human Rights Violation Issues in 2016 US Presidential Elections: An Appraisal -- Crop Prediction Using Artificial Neural Network and Support Vector Machine -- A Hybrid and Adaptive Approach for Classification of Indian Stock Market Related Tweets -- Generative Adversarial Networks as an Advancement in 2D to 3D Reconstruction Techniques -- Impact of Artificial Intelligence on Human Resources -- Role of Activation functions and order of input sequences in Question-Answering -- GestTalk — RealTime Gesture to Speech Conversion Glove -- Deep Learning Algorithms for Accurate Prediction of Image Description for E-Commerce Industry -- Taj-Shanvi framework for image fusion using Guided Filters -- Effective Classification & Handling of Incoming Data Packets in Mobile Adhoc Networks (MANETs) using Random Forest Ensemble Technique (RF/ET) -- Community Structure Identification in Social Networks Inspired By Parliamentary Political Competitions -- An Integrated Technique to Ensure Confidentiality and Integrity in Data Transmission through the Strongest and Authentic Hotspot Selection Mechanism -- ML Model to Improve QoS for selection of healthy channel in Wireless Sensor Network -- Performance Analysis of the Mobile WSN for Efficient localization. | |
520 | _aThis book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry. | ||
650 | 0 |
_aTelecommunication. _910437 |
|
650 | 0 |
_aBig data. _94174 |
|
650 | 0 |
_aArtificial intelligence—Data processing. _934091 |
|
650 | 0 |
_aArtificial intelligence. _93407 |
|
650 | 1 | 4 |
_aCommunications Engineering, Networks. _931570 |
650 | 2 | 4 |
_aBig Data. _94174 |
650 | 2 | 4 |
_aData Science. _934092 |
650 | 2 | 4 |
_aArtificial Intelligence. _93407 |
700 | 1 |
_aSharma, Neha. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _934093 |
|
700 | 1 |
_aChakrabarti, Amlan. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _99622 |
|
700 | 1 |
_aBalas, Valentina Emilia. _eeditor. _0(orcid)0000-0003-0885-1283 _1https://orcid.org/0000-0003-0885-1283 _4edt _4http://id.loc.gov/vocabulary/relators/edt _934094 |
|
710 | 2 |
_aSpringerLink (Online service) _934095 |
|
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9789811393631 |
776 | 0 | 8 |
_iPrinted edition: _z9789811393655 |
830 | 0 |
_aAdvances in Intelligent Systems and Computing, _x2194-5365 ; _v1016 _934096 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-981-13-9364-8 |
912 | _aZDB-2-ENG | ||
912 | _aZDB-2-SXE | ||
942 | _cEBK | ||
999 |
_c75552 _d75552 |