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Angelov, Plamen

Advances in Big Data

Angelov, Plamen - Advances in Big Data, ebook

246,00€

Ebook, PDF with Adobe DRM
ISBN: 9783319478982
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Table of contents

1. Predicting Human Behavior Based on Web Search Activity: Greek Referendum of 2015
Spyros E. Polykalas, George N. Prezerakos

2. Spatial Bag of Features Learning for Large Scale Face Image Retrieval
Nikolaos Passalis, Anastasios Tefas

3. Compact Video Description and Representation for Automated Summarization of Human Activities
Ioannis Mademlis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas

4. Incremental Estimation of Visual Vocabulary Size for Image Retrieval
Ilias Gialampoukidis, Stefanos Vrochidis, Ioannis Kompatsiaris

5. Attribute Learning for Network Intrusion Detection
Jorge Luis Rivero Pérez, Bernardete Ribeiro

6. Sampling Methods in Genetic Programming Learners from Large Datasets: A Comparative Study
Hmida Hmida, Sana Ben Hamida, Amel Borgi, Marta Rukoz

7. A Fast Deep Convolutional Neural Network for Face Detection in Big Visual Data
Danai Triantafyllidou, Anastasios Tefas

8. Novel Automatic Filter-Class Feature Selection for Machine Learning Regression
Morten Gill Wollsen, John Hallam, Bo Nørregaard Jørgensen

9. Learning Using Multiple-Type Privileged Information and SVM+ThinkTank
Ming Jiang, Li Zhang

10. Learning Symbols by Neural Network
Yoshitsugu Kakemoto, Shinichi Nakasuka

11. A CPM-Based Change Detection Test for Big Data
Giada Tacconelli, Manuel Roveri

12. Hadoop MapReduce Performance on SSDs: The Case of Complex Network Analysis Tasks
Marios Bakratsas, Pavlos Basaras, Dimitrios Katsaros, Leandros Tassiulas

13. Designing HMMs in the Age of Big Data
Cesare Alippi, Stavros Ntalampiras, Manuel Roveri

14. Analyzing Big Security Logs in Cluster with Apache Spark
Talha Oktay, Ahmet Sayar

15. Delay Prediction System for Large-Scale Railway Networks Based on Big Data Analytics
Luca Oneto, Emanuele Fumeo, Giorgio Clerico, Renzo Canepa, Federico Papa, Carlo Dambra, Nadia Mazzino, Davide Anguita

16. An Empirical Comparison of Methods for Multi-label Data Stream Classification
Konstantina Karponi, Grigorios Tsoumakas

17. Extended Formulations for Online Action Selection on Big Action Sets
Shaona Ghosh, Adam Prügel-Bennett

18. A-BIRCH: Automatic Threshold Estimation for the BIRCH Clustering Algorithm
Boris Lorbeer, Ana Kosareva, Bersant Deva, Dženan Softić, Peter Ruppel, Axel Küpper

19. Playlist Generation via Vector Representation of Songs
Burak Köse, Süleyman Eken, Ahmet Sayar

20. A Distributed Framework for Early Trending Topics Detection on Big Social Networks Data Threads
Athena Vakali, Nikolaos Kitmeridis, Maria Panourgia

21. Multi-task Deep Neural Networks for Automated Extraction of Primary Site and Laterality Information from Cancer Pathology Reports
Hong-Jun Yoon, Arvind Ramanathan, Georgia Tourassi

22. A Graph-Based Big Data Model for Wireless Multimedia Sensor Networks
Cihan Küçükkeçeci, Adnan Yazıcı

23. CCM: Controlling the Change Magnitude in High Dimensional Data
Cesare Alippi, Giacomo Boracchi, Diego Carrera

24. Spark Parameter Tuning via Trial-and-Error
Panagiotis Petridis, Anastasios Gounaris, Jordi Torres

25. Parallel Computing TEDA for High Frequency Streaming Data Clustering
Xiaowei Gu, Plamen P. Angelov, German Gutierrez, Jose Antonio Iglesias, Araceli Sanchis

26. A Big Data Intelligent Search Assistant Based on the Random Neural Network
Will Serrano

27. RandomFIS: A Fuzzy Classification System for Big Datasets
Oscar Samudio, Marley Vellasco, Ricardo Tanscheit, Adriano Koshiyama

28. Big Data for a Linked Open Economy
M. Vafopoulos, I. Anagnostopoulos, D. Negkas, G. Razis, G. Vafeiadis, I. Skaros, K. Glykos, A. Tzani, E. Galanos

29. Smart Data Integration by Goal Driven Ontology Learning
Jingliang Chen, Dmytro Dosyn, Vasyl Lytvyn, Anatoliy Sachenko

30. An Infrastructure and Approach for Inferring Knowledge Over Big Data in the Vehicle Insurance Industry
Aikaterini K. Kalou, Dimitrios A. Koutsomitropoulos

31. Defining and Identifying Stophashtags in Instagram
Stamatios Giannoulakis, Nicolas Tsapatsoulis

32. Big Data and the Virtuous Circle of Railway Digitization
Howard J. Parkinson, Gary J. Bamford

33. Unified Retrieval Model of Big Data
Asma Al-Drees, Reem Bin-Hezam, Ruba Al-Muwayshir, Wafa’ Haddoush

34. Adaptive Elitist Differential Evolution Extreme Learning Machines on Big Data: Intelligent Recognition of Invasive Species
Konstantinos Demertzis, Lazaros Iliadis

Keywords: Engineering, Computational Intelligence, Data Mining and Knowledge Discovery, Artificial Intelligence (incl. Robotics)

Editor
 
 
 
 
Publisher
Springer
Publication year
2017
Language
en
Edition
1
Series
Advances in Intelligent Systems and Computing
Category
Technology, Energy, Traffic
Format
Ebook
eISBN (PDF)
9783319478982
Printed ISBN
978-3-319-47897-5

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