Abstract is missing.
- M-PCA Binary Embedding for Approximate Nearest Neighbor SearchEzgi Can Ozan, Serkan Kiranyaz, Moncef Gabbouj. 1-5 [doi]
- Large-Scale Classification by an Approximate Least Squares One-Class Support Vector Machine EnsembleVasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas. 6-10 [doi]
- Nearest Class Vector Classification for Large-Scale Learning ProblemsAlexandros Iosifidis, Anastasios Tefas, Ioannis Pitas. 11-16 [doi]
- Class-Specific Nonlinear Projections Using Class-Specific Kernel SpacesAlexandros Iosifidis, Moncef Gabbouj, Petri Pekki. 17-24 [doi]
- Scalable Learning of k-dependence Bayesian Classifiers under MapReduceJacinto Arias, José A. Gámez, Jose Miguel Puerta. 25-32 [doi]
- Distributed Entropy Minimization Discretizer for Big Data Analysis under Apache SparkSergio Ramírez-Gallego, Salvador García, Hector Mourino-Talin, David Martínez-Rego. 33-40 [doi]
- Scalable Massively Parallel Learning of Multiple Linear Regression Algorithm with MapReduceMoufida Rehab Adjout, Faouzi Boufarès. 41-47 [doi]
- An Algorithm for Identifying the Learning Patterns in Big DataMajed Farrash, Wenjia Wang. 48-55 [doi]
- Goal-Based Analytic Composition for On-and Off-line Execution at ScalePeter Coetzee, Stephen A. Jarvis. 56-65 [doi]
- Similarity Measure Based on Low-Rank Approximation for Highly Scalable Recommender SystemsSepideh Seifzadeh, Ali Miri. 66-71 [doi]
- Spatial-Temporal Aware Truth Finding in Big Data Social Sensing ApplicationsChao Huang, Dong Wang. 72-79 [doi]
- Similarity-Based Query-Focused Multi-document Summarization Using Crowdsourced and Manually-built Lexical-Semantic ResourcesMuhidin A. Mohamed, Mourad Oussalah. 80-87 [doi]
- Semi-Supervised Multiple DisambiguationKambiz Ghoorchian, Fatemeh Rahimian, Sarunas Girdzijauskas. 88-95 [doi]
- Hadoop CharacterizationIcaro Alzuru, Kevin Long, Bhaskar Gowda, David Zimmerman, Tao Li. 96-103 [doi]
- Telemetry for Elastic Data (TED): Middleware for MapReduce Job Metering and RatingSoheil Qanbari, Ashkan Farivarmoheb, Parham Fazlali, Samira Mahdi Zadeh, Schahram Dustdar. 104-111 [doi]
- Cost Models for Distributed Pattern Mining in the CloudSabeur Aridhi, Laurent d'Orazio, Mondher Maddouri, Engelbert Mephu Nguifo. 112-119 [doi]
- Performance Evaluation of Enterprise Big Data Platforms with HiBenchTodor Ivanov, Raik Niemann, Sead Izberovic, Marten Rosselli, Karsten Tolle, Roberto V. Zicari. 120-127 [doi]
- Adaptive Data Communication Interface: A User-Centric Visual Data Interpretation FrameworkGrazziela P. Figueredo, Christian Wagner, Jonathan M. Garibaldi, Uwe Aickelin. 128-135 [doi]
- Probabilistic Modeling Towards Understanding the Power Law Distribution of Video Viewing Behavior in Large-Scale e-LearningNi Xue, Huan He, Jun Liu, Qinghua Zheng, Tian Ma, Jianfei Ruan, Bo Dong. 136-142 [doi]
- Enhancing the Detection Rate of Inclined FacesJun-Horng Chen, I.-Lin Tang, Chun-Hsuan Chang. 143-146 [doi]
- PPT Image Segmentation Based on Color EntropyFeijuan He, Xuelu Chen, Dawei Xu, Xianglin Miao. 147-152 [doi]
- Mining E-commerce Data from E-shop WebsitesAndrea Horch, Holger Kett, Anette Weisbecker. 153-160 [doi]
- Provision of Disk I/O Guarantee for MapReduce ApplicationsXuan Thi Tran, Tien Van Do, Nam H. Do, Lóránt Farkas, Csaba Rotter. 161-166 [doi]
- A MapReduce-Based k-Nearest Neighbor Approach for Big Data ClassificationJesus Maillo, Isaac Triguero, Francisco Herrera. 167-172 [doi]
- Semantic HMC: A Predictive Model Using Multi-label Classification for Big DataRafael Peixoto, Thomas Hassan, Christophe Cruz, Aurélie Bertaux, Nuno Silva. 173-179 [doi]
- Analysis of Data Preprocessing Increasing the Oversampling Ratio for Extremely Imbalanced Big Data ClassificationSara del Río, José Manuel Benítez, Francisco Herrera. 180-185 [doi]
- Feature Ranking Based on Information Gain for Large Classification Problems with MapReduceEftim Zdravevski, Petre Lameski, Andrea Kulakov, Boro Jakimovski, Sonja Filiposka, Dimitar Trajanov. 186-191 [doi]
- Compounds Activity Prediction in Large Imbalanced Datasets with Substructural Relations Fingerprint and EEMWojciech Marian Czarnecki, Krzysztof Rataj. 192 [doi]
- Incremental One-Class Bagging for Streaming and Evolving Big DataBartosz Krawczyk, Michal Wozniak. 193-198 [doi]
- An Increment Decision Tree Algorithm for Streamed DataDariusz Jankowski, Konrad Jackowski. 199-204 [doi]
- Multi-label Stream Classification Using Extended Binary Relevance ModelPawel Trajdos, Marek Kurzynski. 205-210 [doi]
- Data Stream Classification Using Random Feature Functions and Novel Method CombinationsJesse Read, Albert Bifet. 211-216 [doi]
- Symbolic Time Series Representation for Stream Data ProcessingJakub Sevcech, Mária Bieliková. 217-222 [doi]
- A Platform for Real-Time Opinion Mining from Social Media and News StreamsNikos Tsirakis, Vassilis Poulopoulos, Panayiotis Tsantilas, Iraklis Varlamis. 223-228 [doi]
- Predicting Object Trajectories from High-Speed Streaming DataNikolaos Zorbas, Dimitrios Zissis, Konstantinos Tserpes, Dimosthenis Anagnostopoulos. 229-234 [doi]
- The Technology of Processing Intensive Structured Dataflow on a SupercomputerVladislav A. Shchapov, Grigorii F. Masich, Aleksei G. Masich. 235-240 [doi]
- Issues in Complex Event Processing SystemsIoannis Flouris, Nikos Giatrakos, Minos N. Garofalakis, Antonios Deligiannakis. 241-246 [doi]