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The Third International Conference on Data Mining, Internet Computing, and Big Data (BigData2016)
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Feature Engineering in Hybrid Recommender Systems
The increasing growth of the World Wide Web especially in a social network with the multiplicity of items offered (such as products or web pages), it is really difficult for a user to pick up ...Authors: Ahmed Adeeb Jalal, Oğuz Altun
Year Published: Jul. 2016 | 1-14 | BigData2016 -
Performance Evaluation of Data Placement Structures for Big Data Warehouses
Rapid growth of data requires systems that are able to provide a scalable infrastructure for distributed storage and processing of vast amount of data efficiently. Hive is a MapReduce-based data ...Authors: Mohammad Rakibul Hasan, S. Kami Makki
Year Published: Jul. 2016 | 15-21 | BigData2016 -
Evaluation the Defects of Models Proposed for Social Networks
In order to analyze the social networks, several models have been proposed and studied in the literature. Toivonen et al. [1] made a comparison between some of these models using the last.fm and ...Authors: Hanif Emamgholizadeh, Mahdieh Hasheminezha, Farzaneh Nasr Esfahani, Ali Dolati
Year Published: Jul. 2016 | 22-35 | BigData2016 -
Approaches on Personal Data Privacy Preserving in Cloud: A Survey
In "Big Data" era nowadays, more and more people worry about privacy issues, because personal data is collected, processed, and analyzed by various organizations continuously. This paper, first of ...Authors: Guihong Chen, Qingling Cai, Yiju Zhan
Year Published: Jul. 2016 | 36-43 | BigData2016 -
Identification of Musically Induced Emotion: A Machine Learning Based Approach
Potential for music to evoke emotions in individuals has been a phenomenon experienced by many. This capability of music has motivated number of research work in the area of Music Emotion Recognition ...Authors: Charini Nanayakkara, Amitha Caldera
Year Published: Jul. 2016 | 44-54 | BigData2016 -
Credibility Analysis for Tweets Written in Turkish by a Hybrid Method
In this work, we have studied credibility analysis of microblogging. We collected our data from one of the most important microblogging services, Twitter. Our data set is created from the Turkish ...Authors: Ali Fatih Gündüz, Pinar Karagöz
Year Published: Jul. 2016 | 55-62 | BigData2016 -
Fuzzy Neighborhood Grid-Based DBSCAN Using Representative Points
Clustering process is considered as one of the most important part in data mining, and it passes through many levels of developments. One of the most famous algorithm is Density-Based Spatial ...Authors: Oguz Altun, Abdallah Mekky
Year Published: Jul. 2016 | 63-73 | BigData2016 -
Proposed Platform IPHCS for Predictive Analysis in Healthcare System by Using Big Data Techniques
The great growth use of new information technology such as mobile application, cloud computing, big data analytics impacted all sectors. This is particularly true for healthcare system as an ...Authors: Basma Boukenze, Hajar Mousannif, Abdelkrim Haqiq
Year Published: Jul. 2016 | 74-81 | BigData2016 -
Application of Stochastic Simulations of Biological Networks Under Different Impulsive Scenarios
The impulses are one of the sources of fluctuations which lead to the sharp changes in the biochemical systems such as the changes in epidemic and population models. These effects have been ...Authors: Müge Yazici, Vilda Purutçuoglu, Derya Altintan
Year Published: Jul. 2016 | 82-91 | BigData2016 -
Degree Distribution of Real Biological Networks
The networks indicate differences with respect to their topological features. The degree distribution, which implies the total number of links attached to a gene, is one of these features. In ...Authors: Vilda Purutçuoglu, Omolola Odunsi
Year Published: Jul. 2016 | 92-100 | BigData2016 -
Big Data Analysis with Query Optimization Results in Secure Cloud
Cloud data storage is a problem solving and explore potential solutions for the provision of long-term storage and access to data sharing, focusing on the data that can be used by various agencies ...Authors: Ahmad Shukri Mohd Noor, Zahariman Farhan Mohd Yatim, Amir Ngah
Year Published: Jul. 2016 | 101-110 | BigData2016 -
On Realizing Rough Set Algorithms with Apache Spark
In this note, in line with the emerging granular computing paradigm for huge datasets, we consider a Spark implementation of rough set theory, which is a powerful mathematical tool to deal with ...Authors: Kuo-Min Huang, Hsin-Yu Chen, Kan-Lin Hsiung
Year Published: Jul. 2016 | 111-112 | BigData2016 -
Sleep Stage Classification: Scalability Evaluations of Distributed Approaches
Processing and analyzing of massive clinical data are resource intensive and time consuming with traditional analytic tools. Electroencephalogram (EEG) is one of the major technologies in detecting ...Authors: Serife Açikalin, Süleyman Eken, Ahmet Sayar
Year Published: Jul. 2016 | 113-117 | BigData2016