期刊： INFORMATION SYSTEMS, 2021; 102 ()
Influence Maximization Problem (IMP) is selecting a seed set of nodes in the social network to spread the influence as widely as possible. It has many......
期刊： INFORMATION SYSTEMS, 2021; 96 ()
Privacy preserving is a paramount concern in publishing datasets that contain sensitive information. Preventing privacy disclosure and providing usefu......
期刊： INFORMATION SYSTEMS, 2021; 96 ()
One key challenge for data owners to host their databases in the cloud is data privacy. In this paper, we first demonstrate that even with the most re......
期刊： INFORMATION SYSTEMS, 2021; 95 ()
Log keyword extraction is an indispensable part of log anomaly detection. There are two main challenges in keyword extraction, one is that the essence......
期刊： INFORMATION SYSTEMS, 2020; 88 ()
It was well observed that a user's preference over a product changes based on his/her friends' preferences, and this phenomenon is called "preference ......
期刊： INFORMATION SYSTEMS, 2020; 88 ()
Similarity query processing is becoming increasingly important in many applications such as data cleaning, record linkage, Web search, and document an......
期刊： INFORMATION SYSTEMS, 2020; 88 ()
Nowadays, the path routing over road networks has become increasingly important, yet challenging, in many real-world applications such as location-bas......
期刊： INFORMATION SYSTEMS, 2020; 89 ()
NeuroIS is a research field in which neuroscience theories and tools are used to better understand information systems phenomena. At present, NeuroIS ......
期刊： INFORMATION SYSTEMS, 2020; 94 ()
Automatic text summarization (ATS) has recently achieved impressive performance thanks to recent advances in deep learning and the availability of lar......
期刊： INFORMATION SYSTEMS, 2020; 94 ()
Blockchain is an emerging data management technology that enables people in a collaborative network to establish trusted connections with the other pa......
期刊： INFORMATION SYSTEMS, 2020; 91 ()
In malicious URLs detection, traditional classifiers are challenged because the data volume is huge, patterns are changing over time, and the correlat......
期刊： INFORMATION SYSTEMS, 2020; 91 ()
Recently, many methods have appeared in the field of cluster analysis. Most existing clustering algorithms have considerable limitations in dealing wi......
期刊： INFORMATION SYSTEMS, 2020; 87 ()
Aggregation operations play an essential role in time series database management. As the number of data increases, it is difficult for current solutio......
期刊： INFORMATION SYSTEMS, 2020; 87 ()
Aiming at the problem of top-k spatial join query processing in cloud computing systems, a Spark-based top-k spatial join (STKSJ) query processing alg......
期刊： INFORMATION SYSTEMS, 2020; 87 ()
Ontologies are the fundamental building blocks of the Semantic Web and Linked Data. Reasoning is critical to ensure the logical consistency of ontolog......
