Skip to content

Advertisement

Articles

Page 2 of 4

  1. Content type: Research

    Supervised learning algorithms are nowadays successfully scaling up to datasets that are very large in volume, leveraging the potential of in-memory cluster-computing Big Data frameworks. Still, massive datase...

    Authors: Luca Venturini, Elena Baralis and Paolo Garza

    Citation: Journal of Big Data 2017 4:44

    Published on:

  2. Content type: Research

    The world of DNA sequencing has not only been a difficult field since it was first worked upon, but it is also growing at an exponential rate. The amount of data involved in DNA searching is huge, thereby norm...

    Authors: Nilay Khare, Alind Khare and Farhan Khan

    Citation: Journal of Big Data 2017 4:41

    Published on:

  3. Content type: Survey paper

    Data sensing, information processing, and networking technologies are being fast embedded into the very fabric of the contemporary city to enable the use of innovative solutions to overcome the challenges of s...

    Authors: Simon Elias Bibri and John Krogstie

    Citation: Journal of Big Data 2017 4:38

    Published on:

  4. Content type: Research

    An important source of information presently is social media, which reports any major event including natural disasters. Social media also includes conversational data. As a result, the volume of data on socia...

    Authors: M. V. Sangameswar, M. Nagabhushana Rao and S. Satyanarayana

    Citation: Journal of Big Data 2017 4:39

    Published on:

  5. Content type: Methodology

    Big datasets are often stored in flat files and can contain contradictory data. Contradictory data undermines the soundness of the information from a noisy dataset. Traditional tools such as pie chart and bar ...

    Authors: Honour Chika Nwagwu, George Okereke and Chukwuemeka Nwobodo

    Citation: Journal of Big Data 2017 4:36

    Published on:

  6. Content type: Research

    This paper proposes a reinforcement learning based message transfer model for transferring news report messages through a selected path in a trusted provenance network with the objective of maximizing the rewa...

    Authors: Sanjoy Kumar Mukherjee and Sivaji Bandyopadhyay

    Citation: Journal of Big Data 2017 4:35

    Published on:

  7. Content type: Research

    Classifying short texts to one category or clustering semantically related texts is challenging, and the importance of both is growing due to the rise of microblogging platforms, digital news feeds, and the li...

    Authors: Justin Zhan and Binay Dahal

    Citation: Journal of Big Data 2017 4:34

    Published on:

  8. Content type: Research

    The restrictions that are related to using single distribution resampling for some specific computing devices’ memory gives developers several difficulties as a result of the increased effort and time needed ...

    Authors: Wan Mohd Yaakob Wan Bejuri, Mohd Murtadha Mohamad, Raja Zahilah Raja Mohd Radzi, Mazleena Salleh and Ahmad Fadhil Yusof

    Citation: Journal of Big Data 2017 4:33

    Published on:

  9. Content type: Methodology

    The recent technology development in the concern of microarray experiments has provided many new potentialities in terms of simultaneous measurement. But new challenges have arisen from these massive quantitie...

    Authors: Fadoua Badaoui, Amine Amar, Laila Ait Hassou, Abdelhak Zoglat and Cyrille Guei Okou

    Citation: Journal of Big Data 2017 4:32

    Published on:

  10. Content type: Research

    Predicting stock market price is considered as a challenging task of financial time series analysis, which is of great interest to stock investors, stock traders and applied researchers. Many machine learning ...

    Authors: Meryem Ouahilal, Mohammed El Mohajir, Mohamed Chahhou and Badr Eddine El Mohajir

    Citation: Journal of Big Data 2017 4:31

    Published on:

  11. Content type: Survey paper

    The explosive growing number of data from mobile devices, social media, Internet of Things and other applications has highlighted the emergence of big data. This paper aims to determine the worldwide research ...

    Authors: Ali Kalantari, Amirrudin Kamsin, Halim Shukri Kamaruddin, Nader Ale Ebrahim, Abdullah Gani, Ali Ebrahimi and Shahaboddin Shamshirband

    Citation: Journal of Big Data 2017 4:30

    Published on:

  12. Content type: Survey paper

    Transfer learning has been demonstrated to be effective for many real-world applications as it exploits knowledge present in labeled training data from a source domain to enhance a model’s performance in a tar...

    Authors: Oscar Day and Taghi M. Khoshgoftaar

    Citation: Journal of Big Data 2017 4:29

    Published on:

  13. Content type: Research

    Big data has become popular for processing, storing and managing massive volumes of data. The clustering of datasets has become a challenging issue in the field of big data analytics. The K-means algorithm is ...

    Authors: Chowdam Sreedhar, Nagulapally Kasiviswanath and Pakanti Chenna Reddy

    Citation: Journal of Big Data 2017 4:27

    Published on:

  14. Content type: Survey paper

    Predictive analytics has gained a lot of reputation in the emerging technology Big data. Predictive analytics is an advanced form of analytics. Predictive analytics goes beyond data mining. A huge amount of me...

    Authors: N. Jayanthi, B. Vijaya Babu and N. Sambasiva Rao

    Citation: Journal of Big Data 2017 4:26

    Published on:

  15. Content type: Research

    Text similarity measurement aims to find the commonality existing among text documents, which is fundamental to most information extraction, information retrieval, and text mining problems. Cosine similarity b...

    Authors: Sahar Sohangir and Dingding Wang

    Citation: Journal of Big Data 2017 4:25

    Published on:

  16. Content type: Methodology

    With the increasing demand for examining and extracting patterns from massive amounts of data, it is critical to be able to train large models to fulfill the needs that recent advances in the machine learning ...

    Authors: Maryam M. Najafabadi, Taghi M. Khoshgoftaar, Flavio Villanustre and John Holt

    Citation: Journal of Big Data 2017 4:22

    Published on:

  17. Content type: Research

    Determining user’s perception of a brand in short periods of time has become crucial for business. Distilling brand perception directly from people’s comments in social media has promise. Current techniques fo...

    Authors: Manu Shukla, Raimundo Dos Santos, Andrew Fong and Chang-Tien Lu

    Citation: Journal of Big Data 2017 4:17

    Published on:

  18. Content type: Research

    Detecting botnets in a network is crucial because bots impact numerous areas such as cyber security, finance, health care, law enforcement, and more. Botnets are becoming more sophisticated and dangerous day-b...

    Authors: Sudipta Chowdhury, Mojtaba Khanzadeh, Ravi Akula, Fangyan Zhang, Song Zhang, Hugh Medal, Mohammad Marufuzzaman and Linkan Bian

    Citation: Journal of Big Data 2017 4:14

    Published on:

  19. Content type: Survey paper

    The ability to process large volumes of data on the fly, as soon as they become available, is a fundamental requirement in today’s information systems. Modern distributed stream processing engines (SPEs) addre...

    Authors: Lorenzo Affetti, Riccardo Tommasini, Alessandro Margara, Gianpaolo Cugola and Emanuele Della Valle

    Citation: Journal of Big Data 2017 4:12

    Published on:

  20. Content type: Research

    Cloud data stores that can handle very large amounts of data, such as Apache HBase, have accelerated the use of non-relational databases (coined as NoSQL databases) as a way of addressing RDB database limitati...

    Authors: R. Ouanouki, A. April, A. Abran, A. Gomez and J. M. Desharnais

    Citation: Journal of Big Data 2017 4:10

    Published on:

  21. Content type: Research

    Proliferation of structural, semi-structural and no-structural data, has challenged the scalability, flexibility and processability of the traditional relational database management systems (RDBMS). The next g...

    Authors: Nadeem Qaisar Mehmood, Rosario Culmone and Leonardo Mostarda

    Citation: Journal of Big Data 2017 4:8

    Published on:

  22. Content type: Survey paper

    A fully self-managed DBMS which does not require administrator intervention is the ultimate goal of database developers. This system should automate deploying, configuration, administration, monitoring, and tu...

    Authors: George Chernishev

    Citation: Journal of Big Data 2017 4:5

    Published on:

  23. Content type: Short report

    Social media data has provided various insights into the behaviour of consumers and businesses. However, extracted data may be erroneous, or could have originated from a malicious source. Thus, quality of soci...

    Authors: Pekka Pääkkönen and Juha Jokitulppo

    Citation: Journal of Big Data 2017 4:6

    Published on:

  24. Content type: Survey paper

    The popularity of social media and computer-mediated communication has resulted in high-volume and highly semantic data about digital social interactions. This constantly accumulating data has been termed as B...

    Authors: Ekaterina Olshannikova, Thomas Olsson, Jukka Huhtamäki and Hannu Kärkkäinen

    Citation: Journal of Big Data 2017 4:3

    Published on:

  25. Content type: Research

    Network infections that are already in progress cause challenges to those officers trying to preserve those nodes not yet infected. Static solutions can take advantage of global knowledge of the network to pro...

    Authors: Justin Zhan, Timothy Rafalski, Gennady Stashkevich and Edward Verenich

    Citation: Journal of Big Data 2017 4:2

    Published on:

  26. Content type: Research

    In order to forecast prices of arbitrary agricultural commodity in different wholesale markets in one city, this paper proposes a mixed model, which combines ARIMA model and PLS regression method based on time...

    Authors: Haoyang Wu, Huaili Wu, Minfeng Zhu, Weifeng Chen and Wei Chen

    Citation: Journal of Big Data 2017 4:1

    Published on:

  27. Content type: Research

    Graph clustering is an important technique to understand the relationships between the vertices in a big graph. In this paper, we propose a novel random-walk-based graph clustering method. The proposed method ...

    Authors: Honglei Zhang, Jenni Raitoharju, Serkan Kiranyaz and Moncef Gabbouj

    Citation: Journal of Big Data 2016 3:26

    Published on:

  28. Content type: Survey paper

    Big data is a term used for very large data sets that have more varied and complex structure. These characteristics usually correlate with additional difficulties in storing, analyzing and applying further pro...

    Authors: Priyank Jain, Manasi Gyanchandani and Nilay Khare

    Citation: Journal of Big Data 2016 3:25

    Published on:

2017 Journal Metrics

Journal of Big Data Accepted into Scopus!

We are pleased to announce that the Journal of Big Data has been accepted into Scopus, the world's largest abstract and citation database of peer-reviewed literature. Read more about the journal's abstract and indexing on the 'About' page.

Latest Tweets

Advertisement