Angelov, Plamen
Advances in Big Data
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
Avainsanat: Engineering, Computational Intelligence, Data Mining and Knowledge Discovery, Artificial Intelligence (incl. Robotics)
- Toimittaja
- Angelov, Plamen
- Iliadis, Lazaros
- Manolopoulos, Yannis
- Roy, Asim
- Vellasco, Marley
- Julkaisija
- Springer
- Julkaisuvuosi
- 2017
- Kieli
- en
- Painos
- 1
- Sarja
- Advances in Intelligent Systems and Computing
- Sivumäärä
- 17 sivua
- Kategoria
- Tekniikka, energia, liikenne
- Tiedostomuoto
- E-kirja
- eISBN (PDF)
- 9783319478982
- Painetun ISBN
- 978-3-319-47897-5