International Conference on Innovative Computing and Communications Proceedings of ICICC 2018, Volume 2 /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Bhattacharyya, Siddhartha (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Hassanien, Aboul Ella (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Gupta, Deepak (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Khanna, Ashish (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Pan, Indrajit (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.
• Σειρά: Lecture Notes in Networks and Systems, 56
• Θέματα: Computational intelligence.; Electrical engineering.; Data mining.; Computational Intelligence.; Communications Engineering, Networks.; Data Mining and Knowledge Discovery.

The book includes high-quality research papers presented at the International Conference on Innovative Computing and Communication (ICICC 2018), which was held at the Guru Nanak Institute of Management (GNIM), Delhi, India on 5-6 May 2018. Introducing the innovative works of scientists, professors,...

Πίνακας περιεχομένων:

• An Optimization Technique for Unsupervised Automatic Extractive Bug Report Summarization
• Prediction of Air Quality Using Time Series Data Mining
• Stress Analysis Using Speech Signal
• Leaf identification using HOG, KNN and Neural Networks
• Information Retrieval on Green Mining Dataset using Divergence from Randomness Models
• Arrhenius Artificial Bee Colony Algorithm
• Big Data in Health Care
• Halftoning Algorithm Using Pull Based Error Diffusion Technique
• Towards an Evolved Information Food Chain of World Wide Web and Taxonomy of Semantic Web Mining
• Topic Oriented Multi Document Summarization Using LSA, Syntactic and Semantic Features
• A Novel Framework for Automated Energy Meter Reading and Theft Detection
• Comparative Analysis of Privacy Preserving Data Mining Techniques.