Data, Engineering and Applications Volume 1 /
This book presents a compilation of current trends, technologies, and challenges in connection with Big Data. Many fields of science and engineering are data-driven, or generate huge amounts of data that are ripe for the picking. There are now more sources of data than ever before, and more means of...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , , , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Singapore :
Springer Singapore : Imprint: Springer,
2019.
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Έκδοση: | 1st ed. 2019. |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- A review of Recommender System and related Dimensions
- Collaborative Filtering Techniques in Recommendation Systems
- Predicting Users' Interest through ELM basedCollaborative Filtering
- Application of Community Detection Technique in Text Mining
- Sentiment Analysis on WhatsApp Group Chat using R
- A Recent Survey on Information Hiding Techniques
- Investigation of Feature Selection Techniques on Performance of Automatic Text Categorization
- Identification and Analysis of Future User Interactions Using Some Link Prediction Methods in Social Networks
- Sentiment Prediction of Facebook Status updates of youngsters
- Logistic Regression for the Diagnosis of Cervical Cancer
- Automatic Examination Timetable Scheduling Using Particle Swarm Optimization and Local Search Algorithm
- Personality Trait Identification for Written Texts Using MLNB
- Deep neural network compression via knowledge distillation for embedded vision applications.