Big Data Analytics
Springer International Publishing (Verlag)
978-3-031-24093-5 (ISBN)
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.
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.
Erscheinungsdatum | 01.02.2023 |
---|---|
Reihe/Serie | Lecture Notes in Computer Science |
Zusatzinfo | XII, 279 p. 93 illus., 53 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 445 g |
Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Schlagworte | Applications • Artificial Intelligence • Computer Networks • Computer Science • Computer systems • computer vision • conference proceedings • Data Mining • Deep learning • Education • Image Processing • Informatics • Information Retrieval • learning • machine learning • multimedia systems • Natural Language Processing (NLP) • Network Protocols • Neural networks • pattern recognition • Research • Signal Processing • Software Design |
ISBN-10 | 3-031-24093-6 / 3031240936 |
ISBN-13 | 978-3-031-24093-5 / 9783031240935 |
Zustand | Neuware |
Haben Sie eine Frage zum Produkt? |
aus dem Bereich