Issue 1/2017
Content (49 Articles)
A new method of large-scale short-term forecasting of agricultural commodity prices: illustrated by the case of agricultural markets in Beijing
Haoyang Wu, Huaili Wu, Minfeng Zhu, Weifeng Chen, Wei Chen
Vaccination allocation in large dynamic networks
Justin Zhan, Timothy Rafalski, Gennady Stashkevich, Edward Verenich
Conceptualizing Big Social Data
Ekaterina Olshannikova, Thomas Olsson, Jukka Huhtamäki, Hannu Kärkkäinen
Scalable two-phase co-occurring sensitive pattern hiding using MapReduce
Shivani Sharma, Durga Toshniwal
Quality management architecture for social media data
Pekka Pääkkönen, Juha Jokitulppo
Improving deep neural network design with new text data representations
Joseph D. Prusa, Taghi M. Khoshgoftaar
Modeling temporal aspects of sensor data for MongoDB NoSQL database
Nadeem Qaisar Mehmood, Rosario Culmone, Leonardo Mostarda
Big data driven co-occurring evidence discovery in chronic obstructive pulmonary disease patients
Christopher Baechle, Ankur Agarwal, Xingquan Zhu
Toward building RDB to HBase conversion rules
R. Ouanouki, A. April, A. Abran, A. Gomez, J. M. Desharnais
Outlier edge detection using random graph generation models and applications
Honglei Zhang, Serkan Kiranyaz, Moncef Gabbouj
Defining the execution semantics of stream processing engines
Lorenzo Affetti, Riccardo Tommasini, Alessandro Margara, Gianpaolo Cugola, Emanuele Della Valle
Big Data management in smart grid: concepts, requirements and implementation
Houda Daki, Asmaa El Hannani, Abdelhak Aqqal, Abdelfattah Haidine, Aziz Dahbi
Botnet detection using graph-based feature clustering
Sudipta Chowdhury, Mojtaba Khanzadeh, Ravi Akula, Fangyan Zhang, Song Zhang, Hugh Medal, Mohammad Marufuzzaman, Linkan Bian
Impact of reviewer social interaction on online consumer review fraud detection
Kunal Goswami, Younghee Park, Chungsik Song
Identification of top-K nodes in large networks using Katz centrality
Justin Zhan, Sweta Gurung, Sai Phani Krishna Parsa
DERIV: distributed brand perception tracking framework
Manu Shukla, Raimundo Dos Santos, Andrew Fong, Chang-Tien Lu
Host managed contention avoidance storage solutions for Big Data
Pratik Mishra, Arun K. Somani
Theory-driven or process-driven prediction? Epistemological challenges of big data analytics
Ahmed Elragal, Ralf Klischewski
Analysis of agriculture data using data mining techniques: application of big data
Jharna Majumdar, Sneha Naraseeyappa, Shilpa Ankalaki
Big data analytics: does organizational factor matters impact technology acceptance?
Vitor Brock, Habib Ullah Khan
Large-scale distributed L-BFGS
Maryam M. Najafabadi, Taghi M. Khoshgoftaar, Flavio Villanustre, John Holt
Horizontally scalable probabilistic generalized suffix tree (PGST) based route prediction using map data and GPS traces
Vishnu Shankar Tiwari, Arti Arya
iiHadoop: an asynchronous distributed framework for incremental iterative computations
Afaf G. Bin Saadon, Hoda M. O. Mokhtar
Survey on clinical prediction models for diabetes prediction
N. Jayanthi, B. Vijaya Babu, N. Sambasiva Rao
Clustering large datasets using K-means modified inter and intra clustering (KM-I2C) in Hadoop
Chowdam Sreedhar, Nagulapally Kasiviswanath, Pakanti Chenna Reddy
Clustering categorical data based on the relational analysis approach and MapReduce
Yasmine Lamari, Said Chah Slaoui
A survey on heterogeneous transfer learning
Oscar Day, Taghi M. Khoshgoftaar
A bibliometric approach to tracking big data research trends
Ali Kalantari, Amirrudin Kamsin, Halim Shukri Kamaruddin, Nader Ale Ebrahim, Abdullah Gani, Ali Ebrahimi, Shahaboddin Shamshirband
A novel hybrid model based on Hodrick–Prescott filter and support vector regression algorithm for optimizing stock market price prediction
Meryem Ouahilal, Mohammed El Mohajir, Mohamed Chahhou, Badr Eddine El Mohajir
Dimensionality reduction and class prediction algorithm with application to microarray Big Data
Fadoua Badaoui, Amine Amar, Laila Ait Hassou, Abdelhak Zoglat, Cyrille Guei Okou
Adaptive memory-based single distribution resampling for particle filter
Wan Mohd Yaakob Wan Bejuri, Mohd Murtadha Mohamad, Raja Zahilah Raja Mohd Radzi, Mazleena Salleh, Ahmad Fadhil Yusof
Learning topic description from clustering of trusted user roles and event models characterizing distributed provenance networks: a reinforcement learning approach
Sanjoy Kumar Mukherjee, Sivaji Bandyopadhyay
Mining and visualising contradictory data
Honour Chika Nwagwu, George Okereke, Chukwuemeka Nwobodo
A framework for the estimation and reduction of hospital readmission penalties using predictive analytics
Christopher Baechle, Ankur Agarwal
The core enabling technologies of big data analytics and context-aware computing for smart sustainable cities: a review and synthesis
Simon Elias Bibri, John Krogstie
An algorithm for identification of natural disaster affected area
M. V. Sangameswar, M. Nagabhushana Rao, S. Satyanarayana
HCudaBLAST: an implementation of BLAST on Hadoop and Cuda
Nilay Khare, Alind Khare, Farhan Khan
Mining and prioritization of association rules for big data: multi-criteria decision analysis approach
Addi Ait-Mlouk, Tarik Agouti, Fatima Gharnati
Some dimension reduction strategies for the analysis of survey data
Jiaying Weng, Derek S. Young
Scaling associative classification for very large datasets
Luca Venturini, Elena Baralis, Paolo Garza
Improving MapReduce privacy by implementing multi-dimensional sensitivity-based anonymization
Mohammed Al-Zobbi, Seyed Shahrestani, Chun Ruan
A computing platform for pairs-trading online implementation via a blended Kalman-HMM filtering approach
Anton Tenyakov, Rogemar Mamon
Missing data management and statistical measurement of socio-economic status: application of big data
Habtamu Tilaye Wubetie
A clustering algorithm for multivariate data streams with correlated components
Giacomo Aletti, Alessandra Micheletti
Improved classification of large imbalanced data sets using rationalized technique: Updated Class Purity Maximization Over_Sampling Technique (UCPMOT)
Sachin S. Patil, Shefali P. Sonavane