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ORCIDTrustCom/BigDataSE/ISPA 2015: Helsinki, Finland - Volume 2
- 2015 IEEE TrustCom/BigDataSE/ISPA, Helsinki, Finland, August 20-22, 2015, Volume 2. IEEE 2015
The Ninth IEEE International Conference on Big Data Science and Engineering
BigDataSE: Analytics I
- Ezgi Can Ozan, Serkan Kiranyaz
, Moncef Gabbouj:
M-PCA Binary Embedding for Approximate Nearest Neighbor Search. 1-5 - Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Large-Scale Classification by an Approximate Least Squares One-Class Support Vector Machine Ensemble. 6-10 - Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Nearest Class Vector Classification for Large-Scale Learning Problems. 11-16 - Alexandros Iosifidis, Moncef Gabbouj, Petri Pekki:
Class-Specific Nonlinear Projections Using Class-Specific Kernel Spaces. 17-24
BigDataSE: Analytics II
- Jacinto Arias, José A. Gámez, José Miguel Puerta:
Scalable Learning of k-dependence Bayesian Classifiers under MapReduce. 25-32 - Sergio Ramírez-Gallego, Salvador García, Héctor Mouriño-Talín, David Martínez-Rego:
Distributed Entropy Minimization Discretizer for Big Data Analysis under Apache Spark. 33-40 - Moufida Rehab Adjout, Faouzi Boufarès:
Scalable Massively Parallel Learning of Multiple Linear Regression Algorithm with MapReduce. 41-47 - Majed Farrash, Wenjia Wang:
An Algorithm for Identifying the Learning Patterns in Big Data. 48-55 - Peter Coetzee, Stephen A. Jarvis:
Goal-Based Analytic Composition for On-and Off-line Execution at Scale. 56-65
BigDataSE: Text Analytics
- Sepideh Seifzadeh, Ali Miri:
Similarity Measure Based on Low-Rank Approximation for Highly Scalable Recommender Systems. 66-71 - Chao Huang, Dong Wang:
Spatial-Temporal Aware Truth Finding in Big Data Social Sensing Applications. 72-79 - Muhidin A. Mohamed, Mourad Oussalah:
Similarity-Based Query-Focused Multi-document Summarization Using Crowdsourced and Manually-built Lexical-Semantic Resources. 80-87 - Kambiz Ghoorchian, Fatemeh Rahimian, Sarunas Girdzijauskas:
Semi-Supervised Multiple Disambiguation. 88-95
BigDataSE: Big Data Technologies
- Icaro Alzuru, Kevin Long, Bhaskar Gowda, David Zimmerman, Tao Li:
Hadoop Characterization. 96-103 - Soheil Qanbari, Ashkan Farivarmoheb, Parham Fazlali, Samira Mahdi Zadeh, Schahram Dustdar:
Telemetry for Elastic Data (TED): Middleware for MapReduce Job Metering and Rating. 104-111 - Sabeur Aridhi, Laurent d'Orazio, Mondher Maddouri, Engelbert Mephu Nguifo:
Cost Models for Distributed Pattern Mining in the Cloud. 112-119 - Todor Ivanov, Raik Niemann, Sead Izberovic, Marten Rosselli, Karsten Tolle, Roberto V. Zicari:
Performance Evaluation of Enterprise Big Data Platforms with HiBench. 120-127 - Grazziela P. Figueredo, Christian Wagner, Jonathan M. Garibaldi, Uwe Aickelin:
Adaptive Data Communication Interface: A User-Centric Visual Data Interpretation Framework. 128-135
The Second IEEE International Workshop on Data, Text, Web, and Social Network Mining (DTWSM)
DTWSM Session I
- Ni Xue, Huan He, Jun Liu, Qinghua Zheng, Tian Ma, Jianfei Ruan, Bo Dong:
Probabilistic Modeling Towards Understanding the Power Law Distribution of Video Viewing Behavior in Large-Scale e-Learning. 136-142 - Jun-Horng Chen, I-Lin Tang, Chun-Hsuan Chang:
Enhancing the Detection Rate of Inclined Faces. 143-146 - Feijuan He, Xuelu Chen, Dawei Xu, Xianglin Miao:
PPT Image Segmentation Based on Color Entropy. 147-152 - Andrea Horch, Holger Kett, Anette Weisbecker:
Mining E-commerce Data from E-shop Websites. 153-160 - Xuan Thi Tran, Tien Van Do, Nam H. Do, Lóránt Farkas, Csaba Rotter:
Provision of Disk I/O Guarantee for MapReduce Applications. 161-166
The First IEEE International Workshop on Classification Problems Embedded in the Nature of Big Data (CPBD)
Data (CPBD) CPBD Session I
- Jesús Maillo, Isaac Triguero, Francisco Herrera:
A MapReduce-Based k-Nearest Neighbor Approach for Big Data Classification. 167-172 - Rafael Peixoto, Thomas Hassan, Christophe Cruz, Aurélie Bertaux, Nuno Silva:
Semantic HMC: A Predictive Model Using Multi-label Classification for Big Data. 173-179 - Sara del Río, José Manuel Benítez, Francisco Herrera:
Analysis of Data Preprocessing Increasing the Oversampling Ratio for Extremely Imbalanced Big Data Classification. 180-185 - Eftim Zdravevski, Petre Lameski, Andrea Kulakov, Boro Jakimovski, Sonja Filiposka, Dimitar Trajanov:
Feature Ranking Based on Information Gain for Large Classification Problems with MapReduce. 186-191 - Wojciech Marian Czarnecki, Krzysztof Rataj:
Compounds Activity Prediction in Large Imbalanced Datasets with Substructural Relations Fingerprint and EEM. 192
The First IEEE International Workshop on Real Time Data Stream Analytics (RTStreams)
CPBD Session II and RTStreams Session I
- Bartosz Krawczyk, Michal Wozniak:
Incremental One-Class Bagging for Streaming and Evolving Big Data. 193-198 - Dariusz Jankowski, Konrad Jackowski:
An Increment Decision Tree Algorithm for Streamed Data. 199-204 - Pawel Trajdos, Marek Kurzynski:
Multi-label Stream Classification Using Extended Binary Relevance Model. 205-210 - Jesse Read, Albert Bifet:
Data Stream Classification Using Random Feature Functions and Novel Method Combinations. 211-216 - Jakub Sevcech, Mária Bieliková:
Symbolic Time Series Representation for Stream Data Processing. 217-222
RTStreams Session II
- Nikos Tsirakis, Vassilis Poulopoulos, Panayiotis Tsantilas, Iraklis Varlamis:
A Platform for Real-Time Opinion Mining from Social Media and News Streams. 223-228 - Nikolaos Zorbas, Dimitrios Zissis, Konstantinos Tserpes, Dimosthenis Anagnostopoulos:
Predicting Object Trajectories from High-Speed Streaming Data. 229-234 - Vladislav A. Shchapov, Grigorii F. Masich, Aleksei G. Masich:
The Technology of Processing Intensive Structured Dataflow on a Supercomputer. 235-240 - Ioannis Flouris, Nikos Giatrakos, Minos N. Garofalakis, Antonios Deligiannakis:
Issues in Complex Event Processing Systems. 241-246
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