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Publication search results
found 19 matches
- 2020
- Omar Ibrahim Bani-Taha, M. Omair Shafiq:
Combining the richness of GIS techniques with visualisation tools to better understand the spatial distribution of data - a case study of Chicago City crime analysis. Int. J. Big Data Intell. 7(1): 29-46 (2020) - Jithin Eapen, Abhishek Verma, Doina Bein:
Improved big data stock index prediction using deep learning with CNN and GRU. Int. J. Big Data Intell. 7(4): 202-210 (2020) - T. Gururaj, G. M. Siddesh:
Optimised parallel implementation with dynamic programming technique for the multiple sequence alignment. Int. J. Big Data Intell. 7(3): 148-156 (2020) - Lilian Hernandez, Monica Wachowicz, Robert Barton, Marc Breissinger:
Uncovering data stream behaviour of automated analytical tasks in edge computing. Int. J. Big Data Intell. 7(1): 15-28 (2020) - James Huang, Xiaoming Li:
Cache-collision side-channel analysis and attacks against AES-GCM. Int. J. Big Data Intell. 7(4): 211-217 (2020) - Anoual El Kah, Abdelhak Lakhouaja:
A survey about legible Arabic fonts for young readers. Int. J. Big Data Intell. 7(3): 169-175 (2020) - Abhilash Kancharla, Hyeyoung Kim, Nohpill Park:
Transaction sampling algorithms for real-time crypto block dependability. Int. J. Big Data Intell. 7(3): 127-136 (2020) - Ioannis Kontopoulos, Konstantinos Chatzikokolakis, Dimitris Zissis, Konstantinos Tserpes, Giannis Spiliopoulos:
Real-time maritime anomaly detection: detecting intentional AIS switch-off. Int. J. Big Data Intell. 7(2): 85-96 (2020) - Takayuki Kushida:
Distributed log management for dynamically changing computing environments on cloud. Int. J. Big Data Intell. 7(3): 157-168 (2020) - Devesh Kumar Lal, Ugrasen Suman:
An efficient algorithm for reducing the flow of real-time data stream with least sampling error. Int. J. Big Data Intell. 7(4): 186-193 (2020) - Anat Lerner, Vered Silber-Varod, Nehoray Carmi, Yonathan Guttel, Omri Allouche:
Modelling the dynamics of acoustic gaps between speakers during business-to-business sales calls. Int. J. Big Data Intell. 7(4): 177-185 (2020) - Massimo Marchiori, Enrico Bonetti Vieno:
To beat or not to beat: uncovering the world social battles with Wikipedia. Int. J. Big Data Intell. 7(2): 110-125 (2020) - Dionisis Margaris, Costas Vassilakis:
Improving collaborative filtering's rating prediction coverage in sparse datasets by exploiting the 'friend of a friend' concept. Int. J. Big Data Intell. 7(1): 47-57 (2020) - Dionisis Margaris, Costas Vassilakis:
Improving collaborative filtering's rating prediction accuracy by considering users' dynamic rating variability. Int. J. Big Data Intell. 7(2): 59-71 (2020) - Jayesh Patel:
Scalable big data modelling. Int. J. Big Data Intell. 7(4): 194-201 (2020) - S. R. Reeja, Murthuza Ali Baig, Rino Cherian, K. Jothimani:
A survey and development on context-aware monitoring in healthcare with big data. Int. J. Big Data Intell. 7(2): 97-109 (2020) - Shalini Sharma, Jerry Chou:
A survey of computation techniques on time evolving graphs. Int. J. Big Data Intell. 7(1): 1-14 (2020) - Iman Tikito, Nissrine Souissi:
Towards a systematic collect data process. Int. J. Big Data Intell. 7(2): 72-84 (2020) - Allen Yang, Boxiang Dong, Dawei Li, Weifeng Sun, Bharath K. Samanthula:
DeepICU: imbalanced classification by using deep neural networks for network intrusion detection. Int. J. Big Data Intell. 7(3): 137-147 (2020)
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