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001484278 001__ 1484278
001484278 003__ OCoLC
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001484278 019__ $$a1410493222
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001484278 0247_ $$a10.1007/978-981-99-1509-5$$2doi
001484278 035__ $$aSP(OCoLC)1410592138
001484278 040__ $$aEBLCP$$beng$$cEBLCP$$dGW5XE$$dYDX$$dOCLCO
001484278 049__ $$aISEA
001484278 050_4 $$aQA76.9.B45
001484278 08204 $$a005.7$$223/eng/20231211
001484278 1112_ $$aInternational Conference on Data, Electronics and Computing$$d(2022 :$$cShillong, India)
001484278 24510 $$aProceedings of International Conference on Data, Electronics and Computing :$$bICDEC 2022 /$$cNibaran Das, Juwesh Binong, Ondrej Krejcar, Debotosh Bhattacharjee, editors.
001484278 2463_ $$aICDEC 2022
001484278 260__ $$aSingapore :$$bSpringer,$$c2023.
001484278 300__ $$a1 online resource (485 p.).
001484278 4901_ $$aAlgorithms for Intelligent Systems
001484278 500__ $$a4.4 Model Performance
001484278 500__ $$aIncludes author index.
001484278 5050_ $$aIntro -- Preface -- Contents -- About the Editors -- Artificial Intelligence -- Correlation Analysis of Stock Index Data Features Using Sequential Rule Mining Algorithms -- 1 Introduction -- 2 Stock Index Data-Collection and Preprocessing -- 3 Algorithms and Techniques for Analyzing Stock Index Data -- 4 Performance Matrices, Data Structures, and Tools Used -- 5 Implementation of AprioriAll Algorithm on Nifty 50 Index Dataset -- 5.1 Implementation Result-1 (Large Sequences and Maximal Sequences) -- 5.2 Implementation Result-2 (Calculation of Standard Averages for Performance Scales)
001484278 5058_ $$a5.3 Implementation Result-3 (Calculation of Support and Confidence) -- 6 Analysis of the Results Obtained -- 6.1 Result Analysis-1 (Intra- and Inter-Relations Among Features) -- 6.2 Result Analysis-2 (Candidate Generation and Memory Consumption) -- 7 Other Applications of Sequential Mining Algorithms -- 8 Conclusion and Future Works -- References -- A CRF-Based POS Tagging Approach for Bishnupriya Manipuri Language -- 1 Introduction -- 2 Bishnupriya Manipuri Language -- 3 Literature Review -- 4 Methodology -- 4.1 Tagset Used -- 4.2 Preprocessing -- 4.3 Annotation
001484278 5058_ $$a4.4 Bishnupriya Manipuri Corpus -- 4.5 Feature Selection -- 4.6 Proposed Approach -- 5 Experimental Results -- 6 Discussion and Challenges -- 7 Conclusion and Future Works -- References -- IFS: An Incremental Feature Selection Method to Classify High-Dimensional Data -- 1 Introduction -- 2 Motivation and Contributions -- 3 Related Work -- 4 IFS: Proposed Incremental Feature Selection Method -- 4.1 Complexity Analysis of the Proposed IFS -- 5 Results and Experimental Analysis on IFS -- 5.1 Dataset Description -- 6 Conclusion -- References
001484278 5058_ $$aComputer-Aided Identification of Loom Type of Ethnic Textile, the Gamusa, Using Texture Features and Random Forest Classifier -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 4 Results and Discussion -- 5 Conclusion -- References -- Spanning Cactus Existence, Optimization and Extension in Windmill Graphs -- 1 Introduction -- 2 Preliminaries -- 3 Windmill Graph -- 3.1 Construction of Windmill Graph WG(n,m) -- 4 SCEP in a Windmill Graph -- 5 MSCP in a Windmill Graph -- 6 MSCE in a Windmill Graph -- 7 Conclusion -- References -- Effect of Noise in Khasi Speech Recognition System
001484278 5058_ $$a1 Introduction -- 2 The Khasi Language -- 3 Subspace Gaussian Mixture Model -- 4 Database Development -- 5 Feature Extraction -- 6 Experimental Approach -- 7 Results and Discussion -- 8 Conclusion -- References -- Text and Language Independent Classification of Voice Calling Platforms Using Deep Learning -- 1 Introduction -- 2 Data Collection -- 3 Methodology -- 3.1 Pre-Emphasis -- 3.2 Removal of Silence Frames -- 3.3 Audio Spectrogram Generation -- 3.4 Model Architecture -- 4 Experiment and Results -- 4.1 Data Preparation -- 4.2 Model Training -- 4.3 Classification by Using Deep Learning Models
001484278 506__ $$aAccess limited to authorized users.
001484278 520__ $$aThis book features high-quality, peer-reviewed research papers presented at the International Conference on Data Electronics and Computing (ICDEC 2022) organized by departments of Electronics and Communication Engineering, Computer Applications, and Biomedical Engineering, North-Eastern Hill University, Shillong, Meghalaya, India during 7 9 September, 2022. The book covers topics in communication, networking and security, image, video and signal processing; cloud computing, IoT and smart city, AI/ML, big data and data mining, VLSI design, antenna, and microwave and control.
001484278 650_6 $$aDonnées volumineuses$$vCongrès.
001484278 650_6 $$aExploration de données (Informatique)$$vCongrès.
001484278 650_6 $$aÉlectronique$$vCongrès.
001484278 650_6 $$aInformatique$$vCongrès.
001484278 650_0 $$aBig data$$vCongresses.$$0(DLC)sh2012003227
001484278 650_0 $$aData mining$$vCongresses.$$vCongresses$$0(DLC)sh2008102035
001484278 650_0 $$aElectronics$$vCongresses.$$xElectronic reserve collections$$0(DLC)sh2001000998
001484278 650_0 $$aComputer science$$vCongresses.$$0(DLC)sh2007006411
001484278 655_0 $$aElectronic books.
001484278 7001_ $$aDas, Nibaran,$$d1981-
001484278 7001_ $$aBinong, Juwesh.
001484278 7001_ $$aKrejcar, Ondrej.
001484278 7001_ $$aBhattacharjee, Debotosh,$$d1971-
001484278 77608 $$iPrint version:$$aDas, Nibaran$$tProceedings of International Conference on Data, Electronics and Computing$$dSingapore : Springer,c2023
001484278 830_0 $$aAlgorithms for intelligent systems.
001484278 852__ $$bebk
001484278 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-1509-5$$zOnline Access$$91397441.1
001484278 909CO $$ooai:library.usi.edu:1484278$$pGLOBAL_SET
001484278 980__ $$aBIB
001484278 980__ $$aEBOOK
001484278 982__ $$aEbook
001484278 983__ $$aOnline
001484278 994__ $$a92$$bISE