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Special Issue of DASFAA 2018

Shazia Sadiq, Jianxin Li
2018 Data Science and Engineering  
We are pleased to present a special issue of Data Science and Engineering (DSE), which contains a collection of five extended papers from the DASFAA 2018 conference.  ...  Besides these five papers, this DSE issue also has one invited paper. DASFAA 2018 is the 23rd International Conference on Database Systems for Advanced Applications.  ...  The five extended papers in this special issue cover a variety of topics relating to data science and engineering.  ... 
doi:10.1007/s41019-018-0083-3 fatcat:wte27b5ncnfv3ifz3bc6dmj6qi

CommuNety: A Deep Learning System for the Prediction of Cohesive Social Communities [article]

Syed Afaq Ali Shah, Weifeng Deng, Jianxin Li, Muhammad Aamir Cheema, Abdul Bais
2020 arXiv   pre-print
Effective mining of social media, which consists of a large number of users is a challenging task. Traditional approaches rely on the analysis of text data related to users to accomplish this task.  ...  Our experimental results demonstrate the superior performance of the proposed technique for the prediction of relationship between different individuals and the cohesiveness of communities.  ...  He has also won two CiSRA best research paper of the year awards, two invited papers in the special issue of IEEE TKDE on the best papers of ICDE, and three best paper awards at ICAPS 2020, WISE 2013 and  ... 
arXiv:2007.14741v1 fatcat:ifpsao223zcthchbnqj7duplma

Urban Public Transport Accessibility to Medical Services from the Perspective of Residents' Travel: A Hybrid Assessment Based on the Whole Process

Xin Fu, Yongjie Qiang, Jianwei Wang, Xiaoxuan Zhao, F.J. Hwang, Chi-Hua Chen
2021 IEEE Access  
Equitable access to efficient medical services via public transport has always been one of the most important issues of healthcare in urban development.  ...  ; (b) More than 80% of residential areas can obtain high PTAMS when considering the use of Class 1 (large-scale) hospitals, while the high PTAMS of Class 2 (small-scale) ones can only cover less than 40%  ...  YONGJIE QIANG received the B.S. degree in traffic equipment and control engineering from Nangtong University, in 2018.  ... 
doi:10.1109/access.2021.3049814 fatcat:lyenanlqpzhj7fftwvctwtbcei

Query Processing in Blockchain Systems: Current State and Future Challenges

Dennis Przytarski, Christoph Stach, Clémentine Gritti, Bernhard Mitschang
2021 Future Internet  
We reflect the state of the art in terms of query support in blockchain systems and assess whether it is capable of meeting the requirements of such more sophisticated use cases.  ...  Owing to this use case, the blockchain system was geared towards efficient storage of data, whereas the processing of complex queries, such as provenance analyses of data history, is out of focus.  ...  the blockchain (see Issue C).  ... 
doi:10.3390/fi14010001 fatcat:axmnkcheyjegjbbhgr4gv5345i

QDR-Tree: An Efficient Index Scheme for Complex Spatial Keyword Query [chapter]

Xinshi Zang, Peiwen Hao, Xiaofeng Gao, Bin Yao, Guihai Chen
2018 Lecture Notes in Computer Science  
It is common to see that clients issue a query to find a restaurant serving pizza and steak, low in price and noise level particularly.  ...  With the popularity of mobile devices and the development of geo-positioning technology, location-based services (LBS) attract much attention and top-k spatial keyword queries become increasingly complex  ...  Clients may have special requests on numerical attributes, such as price, in addition to the location and keywords. Example 1.  ... 
doi:10.1007/978-3-319-98809-2_24 fatcat:alrf36jjl5ejtns3fdsvhndgaq

Impact of COVID-19 on IoT Adoption in Healthcare, Smart Homes, Smart Buildings, Smart Cities, Transportation and Industrial IoT [article]

Muhammad Umair, Muhammad Aamir Cheema, Omer Cheema, Huan Li, Hua Lu
2021 arXiv   pre-print
For each of these sectors, we also provide the details of recent initiatives taken in the wake of COVID-19.  ...  In this paper, we discuss the pandemic's impact on the adoption of the Internet of Things (IoT) in various broad sectors namely healthcare, smart homes, smart buildings, smart cities, transportation and  ...  He has also won two CiSRA best research paper of the year awards, two invited papers in the special issue of IEEE TKDE on the best papers of ICDE, and three best paper awards at ICAPS 2020 , WISE 2013  ... 
arXiv:2101.07196v3 fatcat:6ugcip73w5ewxoomcao7imnadu

QDR-Tree: An Efficient Index Scheme for Complex Spatial Keyword Query [article]

Xinshi Zang, Peiwen Hao, Xiaofeng Gao, Bin Yao, Guihai Chen
2022 arXiv   pre-print
It is common to see that clients issue a query to find a restaurant serving pizza and steak, low in price and noise level particularly.  ...  With the popularity of mobile devices and the development of geo-positioning technology, location-based services (LBS) attract much attention and top-k spatial keyword queries become increasingly complex  ...  Clients may have special requests on numerical attributes, such as price, in addition to the location and keywords. Example 1.  ... 
arXiv:1804.10726v2 fatcat:xws744p26bhpxlfz5tlotmbvii

Clustering of Countries for COVID-19 Cases based on Disease Prevalence, Health Systems and Environmental Indicators [article]

Syeda Amna Rizvi, Muhammad Umair, Muhammad Aamir Cheema
2021 medRxiv   pre-print
factors with the spread of COVID-19.  ...  Pearson Product Moment Correlation Analysis is performed between all the feature variables with cumulative death cases and cumulative confirmed cases individually to get an insight of relation of these  ...  He has also won two CiSRA best research paper of the year awards, two invited papers in the special issue of IEEE TKDE on the best papers of ICDE, and three best paper awards at ICAPS 2020, WISE 2013 and  ... 
doi:10.1101/2021.02.15.21251762 fatcat:gwftrvg4pbhivk5dlcurv4gxca

Efficient Discovery of Weighted Frequent Neighborhood Itemsets in Very Large Spatiotemporal databases

R. Uday Kiran, P. P. C. Reddy, K. Zettsu, Masashi Toyoda, Masaru Kitsuregawa, P. Krishna Reddy
2020 IEEE Access  
This paper proposes a more flexible model of Weighted Frequent Neighborhood Itemsets (WFNI) that may exist in a spatiotemporal database.  ...  Two new measures have been presented to effectively reduce the search space and the computational cost of finding the desired patterns.  ...  from 2006 to 2018.  ... 
doi:10.1109/access.2020.2970181 fatcat:cfd2pqiulbhllpolbjaxhiabbu

Testing MapReduce programs: A systematic mapping study

Jesús Morán, Claudio Riva, Javier Tuya
2018 Journal of Software: Evolution and Process  
The principal reasons for testing the programs are performance issues, potential failures, issues related to the data, or to satisfy the agreements with efficient resources.  ...  There are several challenges and concerns: poor data quality 14,15 , lack of technological skills 16,17 , and among others, different technological issues such as complexity 18 , maturity 19 , operability  ...  ), followed by other issues (4.88% of "performance related" reasons).  ... 
doi:10.1002/smr.2120 fatcat:hwvsfuomzze6fb7yb3nfate5gi

The Disruptions of 5G on Data-driven Technologies and Applications

Dumitrel Loghin, Quang-Trung Ta, Wei Wang, Xiaokui Xiao, Yang Yang, Meihui Zhang, Zhonghua Zhang, Shaofeng Cai, Gang Chen, Anh Dinh, Feiyi Fan, Qian Lin (+3 others)
2020 IEEE Transactions on Knowledge and Data Engineering  
Formal verification of 5G networks can be applied to detect security issues in massive virtualized environments. In summary, 5G will make the world even more densely and closely connected.  ...  First, the high density and large number of IoT devices that can be connected to a 5G network will increase the risk of attacks, such as Distributed Denial-of-Service (DDoS).  ...  Tien Tuan Anh Dinh was supported by Singapore University of Technology and Design's startup grant SRG-ISTD-2019-144.  ... 
doi:10.1109/tkde.2020.2967670 fatcat:je6udowc7rhzlp4upg57vbuzcq

Mixed Information Flow for Cross-domain Sequential Recommendations [article]

Muyang Ma and Pengjie Ren and Zhumin Chen and Zhaochun Ren and Lifan Zhao and Jun Ma and Maarten de Rijke
2020 arXiv   pre-print
One of the key challenges in cross-domain sequential recommendation is to grasp and transfer the flow of information from multiple domains so as to promote recommendations in all domains.  ...  In this paper, we propose a mixed information flow network for cross-domain sequential recommendation to consider both the flow of behavioral information and the flow of knowledge by incorporating a behavior  ...  We hypothesize that enabling a flow of knowledge across different domains is able to alleviate this issue.  ... 
arXiv:2012.00485v3 fatcat:kl4klnly75aodjudrprio6i4cm

Query-Driven Approach to Face Clustering and Tagging

Liyan Zhang, Xikui Wang, Dmitri V. Kalashnikov, Sharad Mehrotra, Deva Ramanan
2016 IEEE Transactions on Image Processing  
Rather than asking a user to provide manual labels so as to minimize the uncertainty of labels (face tags) across the entire data set, we ask the user to provide labels that minimize the uncertainty of  ...  In the era of big data, a traditional offline setting to processing image data is simply not tenable.  ...  Recent estimates suggest that by 2018, more than 80% of total traffic on the internet will consist of video transmissions, and more than 50% of total traffic will originate from non-PCs (e.g., mobile)  ... 
doi:10.1109/tip.2016.2592703 pmid:27448352 fatcat:b7jnbgq7rvg6powqnq6f5ybxjq

DeepPredict: A Zone Preference Prediction System for Online Lodging Platforms

Yihan Ma, Hua Sun, Yang Chen, Jiayun Zhang, Yang Xu, Xin Wang, Pan Hui
2021 Journal of Social Computing  
Also, the description of each accommodation might include some useful information, thus we use Sent2Vec, a sentence embedding algorithm, to get the embedding of accommodation description.  ...  DeepPredict outperforms the state-of-the-art algorithms by 60% in macro Fl-score.  ...  Networks Journal-Special Issue on Network Security and Management in SDN.  ... 
doi:10.23919/jsc.2021.0004 fatcat:wvaq522hljaxtcij752lj3xcza

Reinforcement Learning-based Dialogue Guided Event Extraction to Exploit Argument Relations [article]

Qian Li, Hao Peng, Jianxin Li, Jia Wu, Yuanxing Ning, Lihong Wang, Philip S. Yu, Zheng Wang
2021 arXiv   pre-print
Our approach leverages knowledge of the already extracted arguments of the same sentence to determine the role of arguments that would be difficult to decide individually.  ...  Experimental results show that our approach consistently outperforms seven state-of-the-art event extraction methods for the classification of events and argument role and argument identification.  ...  , pp. 5916–5923, 2018  ... 
arXiv:2106.12384v2 fatcat:blyylym77vdupbrolil2dtmrna
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