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Titolo: | Big Data Analytics : 10th International Conference, BDA 2022, Hyderabad, India, December 19–22, 2022, Proceedings / / edited by Partha Pratim Roy, Arvind Agarwal, Tianrui Li, P. Krishna Reddy, R. Uday Kiran |
Pubblicazione: | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022 |
Edizione: | 1st ed. 2022. |
Descrizione fisica: | 1 online resource (282 pages) |
Disciplina: | 005.7 |
Soggetto topico: | Data mining |
Machine learning | |
Computers, Special purpose | |
Social sciences - Data processing | |
Education - Data processing | |
Data Mining and Knowledge Discovery | |
Machine Learning | |
Special Purpose and Application-Based Systems | |
Computer Application in Social and Behavioral Sciences | |
Computers and Education | |
Persona (resp. second.): | RoyPartha Pratim |
Nota di bibliografia: | Includes bibliographical references and index. |
Nota di contenuto: | Big Data Analytics: Vision and Perspectives -- Data Challenges and Societal Impacts – the case in favor of the Blueprint for an AI Bill of Rights -- Big Data in Cognitive Neuroscience: Opportunities and Challenges -- Data Science: Architectures -- A Novel Feature Selection Based Text Classification using Multi-layer ELM -- ARCORE: Software Requirements Dataset for Service Identification -- ARCORE: Software Requirements Dataset for Service Identification -- Learning enhancement using Question-Answer generation for e-book using contrastive fine-tuned T5 -- Data Science: Applications -- A Machine and Deep Learning Framework to Retain Customers based on their Lifetime Value -- A Deep Learning based Approach to Automate Clinical Coding of Electronic Health Records -- Determining the severity of Dementia using ensemble learning -- Determining the severity of Dementia using ensemble learning -- A distributed ensemble machine learning technique for emotion classification from vocal cues -- Graph Analytics. -Drugomics: Knowledge Graph & AI to Construct Physicians' Brain Digital Twin to Prevent Drug Side-effects and Patient Harm -- Extremely Randomized Tree based Sentiment Polarity Classification on Online Product Reviews -- Community Detection in Large Directed Graphs -- Pattern Mining -- FastTIRP: Efficient discovery of Time-Interval Related Patterns -- Discovering Top-K Periodic Patterns in Temporal Databases -- Hui2Vec: Learning Transaction Embedding Through High Utility Itemsets -- Predictive Analytics in Agriculture -- A Data-driven, Farmer-oriented Agricultural Crop Recommendation Engine (ACRE) -- Analyze the Impact of Weather Parameters for Crop Yield Prediction using Deep Learning -- Analysis of Weather Condition based Reuse among Agromet Advisory: A Validation Study. |
Sommario/riassunto: | This book constitutes the proceedings of the 10th International Conference on Big Data Analytics, BDA 2022, which took place in Hyderabad, India, in December 2022. The 7 full papers and 7 short papers presented in this volume were carefully reviewed and selected from 36 submissions. The book also contains 4 keynote talks in full-paper length. The papers are organized in the following topical sections: Big Data Analytics: Vision and Perspectives; Data Science: Architectures; Data Science: Applications; Graph Analytics; Pattern Mining; Predictive Analytics in Agriculture. |
Titolo autorizzato: | Big data analytics |
ISBN: | 3-031-24094-4 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 996508670003316 |
Lo trovi qui: | Univ. di Salerno |
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