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BigData Congress 2018: San Francisco, CA, USA
- 2018 IEEE International Congress on Big Data, BigData Congress 2018, San Francisco, CA, USA, July 2-7, 2018. IEEE Computer Society 2018, ISBN 978-1-5386-7232-7
Regular Papers
Session 1: Big Data Models and Algorithms
- Leonidas Fegaras, Md Hasanuzzaman Noor:
Compile-Time Code Generation for Embedded Data-Intensive Query Languages. 1-8 - Matthieu Caneill, Noel De Palma:
Lambda-Blocks: Data Processing with Topologies of Blocks. 9-16 - Chia-Hsuan Chang
, San-Yih Hwang, Tou-Hsiang Xui:
Incorporating Word Embedding into Cross-Lingual Topic Modeling. 17-24
Session 2: Big Data Mining and Visualization
- Mikel Elkano, Mikel Uriz, Humberto Bustince, Mikel Galar:
On the Usage of the Probability Integral Transform to Reduce the Complexity of Multi-Way Fuzzy Decision Trees in Big Data Classification Problems. 25-32 - Stefano Proto, Evelina Di Corso, Francesco Ventura, Tania Cerquitelli:
Useful ToPIC: Self-Tuning Strategies to Enhance Latent Dirichlet Allocation. 33-40 - Hourieh Khalajzadeh
A Survey of Current End-User Data Analytics Tool Support. 41-48
Session 3: Big Data - Smart Cities and IoT
- Bill Yang Cai, Xiaojiang Li, Ian Seiferling, Carlo Ratti:
Treepedia 2.0: Applying Deep Learning for Large-Scale Quantification of Urban Tree Cover. 49-56 - Zainab Abbas, Ahmad Al-Shishtawy
Short-Term Traffic Prediction Using Long Short-Term Memory Neural Networks. 57-65 - Somayeh Moazeni, Rodrigo Andrade
A Data-Driven Approach to Predict an Individual Customer's Call Arrival in Multichannel Customer Support Centers. 66-73 - Fie Sternberg, Kasper Hedegaard Pedersen, Niklas Klve Ryelund, Raghava Rao Mukkamala
Analysing Customer Engagement of Turkish Airlines Using Big Social Data. 74-81
Session 4: Big Data - Health and Applications
- Ishtiaq Ahmed, Shiyong Lu, Changxin Bai
Diagnosis Recommendation Using Machine Learning Scientific Workflows. 82-90 - Massimo Marchiori, Giulio Rigoni:
Big Web Colors: Analyzing the World Top Sites. 96-103
Session 5: Big Data Management
- Hilmi Egemen Ciritoglu
Towards a Better Replica Management for Hadoop Distributed File System. 104-111 - Galen Deal, Yang Peng, Hua Qin:
Budget-Transfer: A Low Cost Inter-Service Data Storage and Transfer Scheme. 112-119 - Paul Bartus, Emmanuel Arzuaga
GDedup: Distributed File System Level Deduplication for Genomic Big Data. 120-127
Session 6: Big Data Analytics
- Mohammed Aledhari, Marianne Di Pierro, Fahad Saeed:
A Fourier-Based Data Minimization Algorithm for Fast and Secure Transfer of Big Genomic Datasets. 128-134 - Daniel Presser, Frank Siqueira, Fabio Reina:
Performance Modeling and Task Scheduling in Distributed Graph Processing. 135-142 - Chen Yuan, Yi Lu, Kewen Liu, Guangyi Liu, Renchang Dai, Zhiwei Wang:
Exploration of Bi-Level PageRank Algorithm for Power Flow Analysis Using Graph Database. 143-149
Session 7: Architecture Solution and Quality of Big Data Service
- Simon Caton
Dynamic Model Evaluation to Accelerate Distributed Machine Learning. 150-157 - Jianwu Wang, Chen Liu, Meiling Zhu, Pei Guo, Yapeng Hu:
Sensor Data Based System-Level Anomaly Prediction for Smart Manufacturing. 158-165 - Ikbal Taleb
Big Data Quality: A Survey. 166-173
Workshop Papers
- Claudio A. Ardagna
A Fast and Incremental Development Life Cycle for Data Analytics as a Service. 174-181 - Erik G. Selin, Herna L. Viktor:
XRT: Programming-Language Independent MapReduce on Shared-Memory Systems. 182-189 - João Bachiega Jr., Marco Antonio Sousa Reis, Maristela Holanda
An Architecture for Cost Optimization in the Processing of Big Geospatial Data in Public Cloud Providers. 190-197 - Sayantan Guha:
Estimation of Types of States in Partial Observable Network Systems. 198-204
Work-in-Progress Papers
Session 1
- Ellie Ordway-West, Pallabi Parveen, Austin Henslee:
Autoencoder Evaluation and Hyper-Parameter Tuning in an Unsupervised Setting. 205-209 - Gang Wu, Ratnesh Kumar:
Learning a Joint Low-Rank and Gaussian Model in Matrix Completion with Spectral Regularization and Expectation Maximization Algorithm. 210-214 - Eleazar Leal, Le Gruenwald:
DynMDL: A Parallel Trajectory Segmentation Algorithm. 215-218 - Leonardo Jiménez Rodríguez, Xiaoran Wang, Jilong Kuang:
Insights on Apache Spark Usage by Mining Stack Overflow Questions. 219-223 - Chia-Lun Lee, Shun-Wen Hsiao, Fang Yu:
Biparti Majority Learning with Tensors. 224-227
Session 2
- Domenico Redavid
An OWL Ontology for Supporting Semantic Services in Big Data Platforms. 228-231 - Vinodh Venkatesan, Taras Lehinevych, Giovanni Cherubini, Andrii Glybovets
Graph-Based Data Relevance Estimation for Large Storage Systems. 232-236 - Dimosthenis Kyriazis
BigDataStack: A Holistic Data-Driven Stack for Big Data Applications and Operations. 237-241 - Athar Khodabakhsh
Stream Analytics and Adaptive Windows for Operational Mode Identification of Time-Varying Industrial Systems. 242-246 - Giselle van Dongen
Latency Measurement of Fine-Grained Operations in Benchmarking Distributed Stream Processing Frameworks. 247-250
Session 3
- Preethi Anantharaman, Mu Qiao, Divyesh Jadav:
Large Scale Predictive Analytics for Hard Disk Remaining Useful Life Estimation. 251-254 - Sara Migliorini, Damiano Carra, Alberto Belussi
Adaptive Trip Recommendation System: Balancing Travelers among POIs with MapReduce. 255-259 - Joseph Coelho, Paromita Nitu, Praveen Madiraju:
A Personalized Travel Recommendation System Using Social Media Analysis. 260-263 - Liyue Fan, Luca Bonomi:
Time Series Sanitization with Metric-Based Privacy. 264-267 - Amin Beiraimi, Ken Q. Pu, Ying Zhu:
Towards Optimal Snapshot Materialization to Support Large Query Workload for Append-Only Temporal Databases. 268-271 - Laurent Thiry, Heng Zhao, Michel Hassenforder:
Categorical Models for BigData. 272-275
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