Business data analytics : first international conference, ICBDA 2022, Dehradun, India, October 7-8, 2022, proceedings / / edited by Rajesh Singh [and four others]

• Pubblicazione: Cham, Switzerland : , : Springer, , [2023]; ©2023
• Descrizione fisica: 1 online resource (89 pages)
• Disciplina: 006.3
• Soggetto topico: Artificial intelligence; Business - Data processing
• Persona (resp. second.): SinghRajesh
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Intro -- Preface -- Organization -- Contents -- Brain Stroke Prediction Using the Artificial Intelligence -- 1 Introduction -- 2 Literature Review -- 3 Data Set and Methodology Used -- 4 Data Analysis -- 5 Results and Discussion -- 5.1 Model of Ensemble Voting -- 6 Conclusion -- References -- Game Rules Prediction - Winning Strategies Using Decision Tree Algorithms -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Analysis and Results -- 4.1 Exploratory Data Analysis -- 5 Managerial Applications -- 6 Methodological Limitations -- 7 Conclusion -- References -- Quantitative Analysis of the Impact of Demography and Job Profile on the Organizational Commitment of the Faculty Members in the HEI'S of Uttarakhand -- 1 Introduction -- 2 Literature Review -- 3 Research Methodology -- 4 Data Analysis and Interpretation -- References -- Prostate Cancer Data Analytics Using Hybrid ECNN and ERNN Techniques -- 1 Introduction -- 2 Literature Survey -- 3 Research Methodology -- 3.1 Existing System -- 3.2 Proposed System -- 4 Experimental Results -- 4.1 ECNN Algorithm -- 4.2 ERNN Algorithm -- 4.3 Input Datset -- 5 Results -- 5.1 Performance Evaluation Methods -- 5.2 Evaluation Metrics -- 5.3 Data Input -- 6 Comparison Table -- 7 Conclusions -- References -- A Review on Smart Patient Monitoring and Management in Orthopaedics Using Machine Learning -- 1 Introduction -- 2 Problems Related to Bones -- 2.1 Bone Fracture -- 2.2 Bone Diseases -- 2.3 Bone Surgery -- 3 Role of ML in Orthopaedics -- 3.1 ML in Fracture Detection -- 3.2 ML in Fracture Prediction -- 3.3 ML in the Sphere of Bone Diseases -- 3.4 ML in Aid of Bone Surgery -- 4 Conclusions -- References -- A Machine Learning Framework for Detection of Fake News -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Dataset Description -- 3.2 Feature Extraction Using TF-IDF. ; 3.3 Machine Learning Models -- 4 Result and Analysis -- 5 Conclusion -- References -- Author Index.
• Titolo autorizzato: Business data analytics
• ISBN: 3-031-23647-5
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 996503563803316
• Lo trovi qui: Univ. di Salerno
• Serie: Communications in Computer and Information Science