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ORCIDINNS Conference on Big Data 2016: Thessaloniki, Greece
- Plamen Angelov, Yannis Manolopoulos, Lazaros S. Iliadis, Asim Roy, Marley M. B. R. Vellasco:
Advances in Big Data - Proceedings of the 2nd INNS Conference on Big Data, October 23-25, 2016, Thessaloniki, Greece. Advances in Intelligent Systems and Computing 529, 2017, ISBN 978-3-319-47897-5 - Spyros E. Polykalas, George N. Prezerakos:
Predicting Human Behavior Based on Web Search Activity: Greek Referendum of 2015. 1-7 - Nikolaos Passalis, Anastasios Tefas
:
Spatial Bag of Features Learning for Large Scale Face Image Retrieval. 8-17 - Ioannis Mademlis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas:
Compact Video Description and Representation for Automated Summarization of Human Activities. 18-28 - Ilias Gialampoukidis, Stefanos Vrochidis, Ioannis Kompatsiaris:
Incremental Estimation of Visual Vocabulary Size for Image Retrieval. 29-38 - Jorge Luis Rivero Pérez, Bernardete Ribeiro:
Attribute Learning for Network Intrusion Detection. 39-49 - Hmida Hmida, Sana Ben Hamida, Amel Borgi, Marta Rukoz:
Sampling Methods in Genetic Programming Learners from Large Datasets: A Comparative Study. 50-60 - Danai Triantafyllidou, Anastasios Tefas:
A Fast Deep Convolutional Neural Network for Face Detection in Big Visual Data. 61-70 - Morten Gill Wollsen, John Hallam, Bo Nørregaard Jørgensen:
Novel Automatic Filter-Class Feature Selection for Machine Learning Regression. 71-80 - Ming Jiang, Li Zhang:
Learning Using Multiple-Type Privileged Information and SVM+ThinkTank. 81-88 - Yoshitsugu Kakemoto, Shinichi Nakasuka:
Learning Symbols by Neural Network. 89-99 - Giada Tacconelli, Manuel Roveri:
A CPM-Based Change Detection Test for Big Data. 100-110 - Marios Bakratsas, Pavlos Basaras, Dimitrios Katsaros, Leandros Tassiulas:
Hadoop MapReduce Performance on SSDs: The Case of Complex Network Analysis Tasks. 111-119 - Cesare Alippi, Stavros Ntalampiras, Manuel Roveri:
Designing HMMs in the Age of Big Data. 120-130 - Talha Oktay, Ahmet Sayar:
Analyzing Big Security Logs in Cluster with Apache Spark. 131-138 - Luca Oneto, Emanuele Fumeo, Giorgio Clerico, Renzo Canepa, Federico Papa, Carlo Dambra, Nadia Mazzino, Davide Anguita:
Delay Prediction System for Large-Scale Railway Networks Based on Big Data Analytics. 139-150 - Konstantina Karponi, Grigorios Tsoumakas:
An Empirical Comparison of Methods for Multi-label Data Stream Classification. 151-159 - Shaona Ghosh, Adam Prügel-Bennett:
Extended Formulations for Online Action Selection on Big Action Sets. 160-168 - Boris Lorbeer, Ana Kosareva, Bersant Deva, Dzenan Softic, Peter Ruppel, Axel Küpper:
A-BIRCH: Automatic Threshold Estimation for the BIRCH Clustering Algorithm. 169-178 - Burak Köse, Süleyman Eken, Ahmet Sayar:
Playlist Generation via Vector Representation of Songs. 179-185 - Athena Vakali, Nikolaos Kitmeridis, Maria Panourgia:
A Distributed Framework for Early Trending Topics Detection on Big Social Networks Data Threads. 186-194 - Hong-Jun Yoon, Arvind Ramanathan, Georgia D. Tourassi:
Multi-task Deep Neural Networks for Automated Extraction of Primary Site and Laterality Information from Cancer Pathology Reports. 195-204 - Cihan Küçükkeçeci, Adnan Yazici:
A Graph-Based Big Data Model for Wireless Multimedia Sensor Networks. 205-215 - Cesare Alippi, Giacomo Boracchi, Diego Carrera:
CCM: Controlling the Change Magnitude in High Dimensional Data. 216-225 - Panagiotis Petridis, Anastasios Gounaris, Jordi Torres:
Spark Parameter Tuning via Trial-and-Error. 226-237 - Xiaowei Gu, Plamen P. Angelov, Germán Gutiérrez, José Antonio Iglesias, Araceli Sanchis:
Parallel Computing TEDA for High Frequency Streaming Data Clustering. 238-253 - Will Serrano:
A Big Data Intelligent Search Assistant Based on the Random Neural Network. 254-261 - Oscar Samudio, Marley M. B. R. Vellasco, Ricardo Tanscheit, Adriano S. Koshiyama:
RandomFIS: A Fuzzy Classification System for Big Datasets. 262-272 - Michalis Vafopoulos, Ioannis Anagnostopoulos, Dimitrios Negkas, Gerasimos Razis, Georgios Vafeiadis, Ilias Skaros, Konstantinos Glykos, Aggelos Tzani, Eleftherios Galanos:
Big Data for a Linked Open Economy. 273-282 - Jingliang Chen, Dmytro Dosyn, Vasyl Lytvyn, Anatoliy Sachenko:
Smart Data Integration by Goal Driven Ontology Learning. 283-292 - Aikaterini K. Kalou, Dimitrios A. Koutsomitropoulos:
An Infrastructure and Approach for Inferring Knowledge Over Big Data in the Vehicle Insurance Industry. 293-303 - Stamatios Giannoulakis, Nicolas Tsapatsoulis:
Defining and Identifying Stophashtags in Instagram. 304-313 - Howard J. Parkinson, Gary J. Bamford:
Big Data and the Virtuous Circle of Railway Digitization. 314-322 - Asma Al-Drees, Reem Bin Hezam, Ruba Al-Muwayshir, Wafa' Haddoush:
Unified Retrieval Model of Big Data. 323-332 - Konstantinos Demertzis, Lazaros S. Iliadis:
Adaptive Elitist Differential Evolution Extreme Learning Machines on Big Data: Intelligent Recognition of Invasive Species. 333-345
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