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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Shukla, Rajesh Kumar (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Agrawal, Jitendra (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Sharma, Sanjeev (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Singh Tomer, Geetam (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2019.
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.