Online education platforms have diverse learning content like videos, audio lectures, and technical articles. The major drawback of video-based learning content is the inability to directly access the content of interest ...

We study two measures namely maximal information coefficient (MIC) and distance correlation (dCor) for the application anomaly detection. MIC is based on the concept of information theory and measures the mutual information ...

In the current changing trends, collaboration between di erent organizations or consolidation between applications of the same organization has become a common phenomenon. In order to achieve strategic business objectives ...

Penetration of GPS-enabled devices has resulted into generation of a lot of Spatial-Textual data, which can be mined/analyzed to improve various location-based services. One such kind of data is activity-trajectory data, ...

Graphs have always been an interesting structure to study in both mathematics and computer science , and have become even more interesting in the context of online social networks, recommendation networks whose underlying ...

Congestion is one of the biggest problems which affects life quality and has an impact on social and economic conditions. Tackling traffic congestion has always been a challenge. The situation is more aggravated for ...

Traffic speed prediction is one of the challenging task and has many applications. Existing solutions either use crowd-sourced data or sophisticated technologies to perform the task, and hence are costly and unreliable. ...

Heterogeneous semi-structured tables are commonly used to represent data on the in- ternet. Recent years have seen a flurry of works in tasks that endeavor to comprehend such tabular information, such as table summarization, ...

181 women distress helpline provides immediate assistance to women in distress and helps them overcome emotional and bureaucratic challenges. In this work, we present the detailed understa ndings of our qualitative and ...