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TrustCom/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
Large-Scale Classification by an Approximate Least Squares One-Class Support Vector Machine Ensemble. 6-10 - Alexandros Iosifidis
Nearest Class Vector Classification for Large-Scale Learning Problems. 11-16 - Alexandros Iosifidis
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
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
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
Cost Models for Distributed Pattern Mining in the Cloud. 112-119 - Todor Ivanov, Raik Niemann, Sead Izberovic, Marten Rosselli, Karsten Tolle
Performance Evaluation of Enterprise Big Data Platforms with HiBench. 120-127 - Grazziela P. Figueredo
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
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
Mining E-commerce Data from E-shop Websites. 153-160 - Xuan Thi Tran
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
A MapReduce-Based k-Nearest Neighbor Approach for Big Data Classification. 167-172 - Rafael Peixoto, Thomas Hassan, Christophe Cruz
Semantic HMC: A Predictive Model Using Multi-label Classification for Big Data. 173-179 - Sara del Río, José Manuel Benítez
Analysis of Data Preprocessing Increasing the Oversampling Ratio for Extremely Imbalanced Big Data Classification. 180-185 - Eftim Zdravevski
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
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
Symbolic Time Series Representation for Stream Data Processing. 217-222
RTStreams Session II
- Nikos Tsirakis, Vassilis Poulopoulos
A Platform for Real-Time Opinion Mining from Social Media and News Streams. 223-228 - Nikolaos Zorbas, Dimitrios Zissis
Predicting Object Trajectories from High-Speed Streaming Data. 229-234 - Vladislav A. Shchapov, Grigorii F. Masich
The Technology of Processing Intensive Structured Dataflow on a Supercomputer. 235-240 - Ioannis Flouris, Nikos Giatrakos
Issues in Complex Event Processing Systems. 241-246
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