Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJournal of Big Data, Volume 3
Volume 3, 2016
- Madjid Khalilian
, Norwati Mustapha, Md Nasir Sulaiman:
Data stream clustering by divide and conquer approach based on vector model. 1 - Jacques Bughin:
Big data, Big bang? 2 - Jie Yang, Brian Yecies:
Mining Chinese social media UGC: a big-data framework for analyzing Douban movie reviews. 3 - Nemanja Trifunovic, Veljko Milutinovic, Nenad Korolija, Georgi Gaydadjiev:
An AppGallery for dataflow computing. 4 - Manoj B. Chandak:
Role of big-data in classification and novel class detection in data streams. 5 - Pekka Pääkkönen:
Feasibility analysis of AsterixDB and Spark streaming with Cassandra for stream-based processing. 6 - Jose Hurtado, Ankur Agarwal, Xingquan Zhu:
Topic discovery and future trend forecasting for texts. 7 - Sachin Kumar, Durga Toshniwal:
A novel framework to analyze road accident time series data. 8 - Karl R. Weiss, Taghi M. Khoshgoftaar, Dingding Wang:
A survey of transfer learning. 9 - Haysam Selim, Justin Zhan:
Towards shortest path identification on large networks. 10 - Mohamed Ben Brahim, Wassim Drira, Fethi Filali, Noureddine Hamdi:
Spatial data extension for Cassandra NoSQL database. 11 - Matin Pirouz, Justin Zhan:
Optimized relativity search: node reduction in personalized page rank estimation for large graphs. 12 - Sachin Kumar, Durga Toshniwal:
Analysis of hourly road accident counts using hierarchical clustering and cophenetic correlation coefficient (CPCC). 13 - Jacques Bughin:
Reaping the benefits of big data in telecom. 14 - Ankur Agarwal, Christopher Baechle, Ravi S. Behara, Vinaya Rao:
Multi-method approach to wellness predictive modeling. 15 - Justin Zhan, Vivek Guidibande, Sai Phani Krishna Parsa:
Identification of top-K influential communities in big networks. 16 - Theo Steininger, Maksim Greiner, Frederik Beaujean, Torsten A. Enßlin:
d2o: a distributed data object for parallel high-performance computing in Python. 17 - Paola Cerchiello, Paolo Giudici:
Big data analysis for financial risk management. 18 - Rupinder Singh, Puneet Jai Kaur:
Analyzing performance of Apache Tez and MapReduce with hadoop multinode cluster on Amazon cloud. 19 - Athanassios M. Kintsakis, Fotis E. Psomopoulos, Pericles A. Mitkas:
Data-aware optimization of bioinformatics workflows in hybrid clouds. 20 - Uthayanath Suthakar, Luca Magnoni, David Ryan Smith, Akram Khan, Julia Andreeva:
An efficient strategy for the collection and storage of large volumes of data for computation. 21 - Matin Pirouz, Justin Zhan, Shahab Tayeb:
An optimized approach for community detection and ranking. 22 - Allard J. van Altena, Perry D. Moerland, Aeilko H. Zwinderman, Sílvia D. Olabarriaga:
Understanding big data themes from scientific biomedical literature through topic modeling. 23 - Budi Padmaja, V. V. R. Prasad, K. V. N. Sunitha:
TreeNet analysis of human stress behavior using socio-mobile data. 24 - Priyank Jain, Manasi Gyanchandani, Nilay Khare:
Big data privacy: a technological perspective and review. 25 - Honglei Zhang, Jenni Raitoharju, Serkan Kiranyaz, Moncef Gabbouj:
Limited random walk algorithm for big graph data clustering. 26
a service of 
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-04-25 20:50 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
