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ICBDR '17: Proceedings of the 1st International Conference on Big Data Research
ACM2017 Proceeding
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
Conference:
ICBDR 2017: 2017 International Conference on Big Data Research Osaka Japan October 22 - 24, 2017
ISBN:
978-1-4503-5356-4
Published:
22 October 2017
In-Cooperation:
NICT, Osaka University

Reflects downloads up to 14 Oct 2024Bibliometrics
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Abstract

It is our pleasure to introduce you to the Proceedings of 2017 International Conference on Big Data Research (ICBDR 2017) which was held on October 22-24, 2017 at Osaka, Japan.

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SESSION: Data Theory and Big Data
research-article
Classification Performance Analysis in Medical Science: Using Kidney Disease Data

Health-care practices face data storage problems in the growing world. Huge data storage demands have caused undeniable data storage problems leaving health practitioners exclaimed. Without delay, accumulated data becomes too difficult to analyzed and ...

research-article
Quantitative Study on Commercial Street Vibrancy Based on Big Data: A Case of Dalian

Street as traffic carrier and public space of a city are playing increasingly important role in daily city life. The paper quantitatively explores vibrancy of Commercial Street, while referring to urban space syntax analysis method, taking Dalian as an ...

research-article
A Platform for Supporting Automatic Data Storing and Visualization of Public and Private Big Data

With the arrival of the Fourth Industrial Revolution, large amounts of data are being produced every day in various fields such as industry, culture, politics, education, medicine, and meteorology. In recent years, as the importance of data has ...

research-article
A Method of Related Parameters Combinatorial Optimization of Large Data Platform Based on MapReduce

The typical big data platform uses the MapReduce programming model. The optimization of platform parameters is the basis of optimization for MapReduce large data analysis and processing algorithms. Based on the Hadoop cloud platform, parameters ...

research-article
Prediction of NO2 Emission Concentration via Correlation of Multiple Big Data Sources Using Extreme Learning Machine

Increase of electricity demand and urbanization process has caused more power plants to be built to meet the demand of electricity. However, development of power plant will cause environmental issue for its surrounding. Necessary measures need to be ...

research-article
Case-based Reasoning Intelligent Tutoring System: An Application of Big Data and IoT

The Big Data technology has paved a new way to provide inputs for the educational activities. The Case-based Reasoning (CBR) is an Artificial Intelligence (AI) algorithmthat is widely used for Big Data application. CBR has the ability to give a solution ...

research-article
Big Data Analysis for Spatio-Temporal Earthquake Risk-Mapping System in Indonesia with Automatic Clustering

Earthquake is one of nature disaster types. Almost all regions in Indonesia are often earthquakes ranging from small magnitude to large. Anticipation and mitigation of earthquake victims is one of the important points in preventing the occurrence of ...

research-article
Performance Analysis Survey of Data Replication Strategies in Cloud Environment

Data replication in cloud computing emerged as a popular alternative to the traditional cluster based replication because of the exponential growth in usage of the internet with an explosion of data sources and usability of data. To provide high data ...

SESSION: Data Structure and Data Mining
research-article
Data-Driven Statistical Analysis of Dynamic Vessel Trajectories in Wuhan Section of the Yangtze River

Automatic identification system (AIS), which records the spatio-temporal dynamic vessel trajectories, has recently attracted increasing attention due to its great potential in maritime management and ocean engineering. AIS has been successfully utilized ...

research-article
Prediction of Solder Joint Quality Using a Data Mining Methodology for Surface Mounted Technology Process

In the application of automated optical inspection (AOI) machine for printed circuit boards (PCBs), the accurate inspection on solder joint defects of the electronic component become more critical and difficult due to electronics device assembly with ...

research-article
Design of ETL Provenance Tool Based on Minimal Attribute Set

For the ETL process, this paper designs a provenance tool based on inversible transformation, and describes the meta-information of ETL and data provenance process in two ways: one is to take the database two-dimensional table to describe the relevant ...

research-article
On the Optimization of Improved Apriori Algorithm via Linked-list Trie

In recent years there has been explosive growth of data and its utilization triggered by technological advancements. Consequently, several business enterprises have accumulated enormous data from client purchases gathered at all times. Data mining ...

SESSION: Social Media and Information Engineering
research-article
An Ensemble Algorithm Used in Video Recommendation System

At present, there are many recommendation algorithms, but no one is superior to another under any background or any data. In order to improve the performance of recommendation algorithm as much as possible, we propose an ensemble algorithm by combining ...

research-article
A Comparative Analysis of Intelligent Classifiers for Mapping Customer Requirements to Product Configurations

Intelligent classifiers are now widely used to solve engineering problems. This study analyzes the performance of six different classifiers under various sparsity for mapping customer requirements to product configurations for the first time. The ...

research-article
A Novel Customer Selection Method for Customer Collaborative Product Innovation Team

To form an effective customer collaborative product innovation (CCPI) team, customer selection is a crucial stage. In this work, a customer selection model for CCPI team is proposed considering comprehensively the individual knowledge competence and ...

research-article
A Correction Method for Time of Ship Trajectories Based on AIS

Automatic Identification System (AIS) can provide massive trajectory data for data mining in the maritime field. However, there are errors of the temporal information which may directly affect the result of research. A method based the generated time in ...

research-article
Transaction-level Analysis for Electric Vehicle Charging in Jeju

This paper presents how to process the charging transaction archives for electric vehicles and conducts various statistical analyses, focusing on the number of transactions, the amount of electricity supplied to vehicles, and the length of charging ...

research-article
An Attack Strategy based on Hyperbolic Coordinates

In this paper, from the view of community structure and information flow, a new attack strategy NCLIC is proposed based on hyperbolic coordinates in the complex network. Firstly, a centrality index LIC is introduced in the hyperbolic coordinates which ...

research-article
An Aviation Market Hierarchical Cluster Model Considering Dimension Reduction of Airline Route Network Performance

Aviation market cluster plays an important role in airlines, helping them to both evaluate their route network performance and develop operational strategies. This paper studies the hierarchical cluster model for the aviation market, with consideration ...

research-article
Voice of Customers: Text Analysis of Hotel Customer Reviews (Cleanliness, Overall Environment & Value for Money)

The rise of the Internet has caused many changes on our daily lives. Internet has drastically changed the way we live our life, the way we spend our holidays, how we communicate with each other daily, and how we purchase products. The growth of Internet ...

research-article
Amplify the Reach of Contents in WeChat Moments: Analysis of Key Factors for Boosting Page View

As private social media such as Snapchat and WhatsApp becomes popular among the world, businesses and individuals are interested in advertising products or publicizing them-selves to customers via private social media. However, it is difficult for a ...

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