Mohammad Shafkat Amin

Learn More
In the last few years, several works in the literature have addressed the problem of data extraction from web pages. The importance of this problem derives from the fact that, once extracted, data can be handled in a way similar to instances of a traditional database, which in turn can facilitate application of web data integration and various other domain(More)
Much work has been done to study the interplay between recommender systems and social networks. This creates a very powerful coupling in presenting highly relevant recommendations to the users. However, to our knowledge, little attention has been paid to leverage a user's social network to deliver these recommendations. We present a novel approach to aid(More)
Experimental methods are beginning to define the networks of interacting genes and proteins that control most biological processes. There is significant interest in developing computational approaches to identify subnetworks that control specific processes or that may be involved in specific human diseases. Because genes associated with a particular disease(More)
Many emerging database applications entail sophisticated graph-based query manipulation, predominantly evident in large-scale scientific applications. To access the information embedded in graphs, efficient graph matching tools and algorithms have become of prime importance. Although the prohibitively expensive time complexity associated with exact subgraph(More)
We describe a hybrid recommendation system at LinkedIn that seeks to optimally extract relevant information pertaining to items to be recommended. By extending the notion of an item profile, we propose the concept of a "virtual profile" that augments the content of the item with rich set of features inherited from members who have already shown explicit(More)
Data intensive applications in Life Sciences extensively use the Hidden Web as a platform for information sharing. Access to these heterogeneous Hidden Web resources is limited through the use of prede-fined web forms and interactive interfaces that users navigate manually, and assume responsibility for reconciling schema heterogeneity, mediating missing(More)
Study of interactomes requires assembling complex tools, ontologies and online interaction network databases and so on to validate hypotheses and gain insight. One of the major bottlenecks is the discovery of similar or isomorphic subgraphs in very large interactomes and cross referencing the relationships a set of proteins or genes share. These(More)
The importance of single-tree-based information for forest management and related industries in countries like Sweden, which is covered in approximately 65% by forest, is the motivation for developing algorithms for tree detection and species identification in this study. Most of the previous studies in this field are carried out based on aerial and(More)
Formulating and executing queries over distributed, autonomous and heterogeneous resources is an important research area. The advent of the Internet and the Web and their inherent ubiquity have brought forth opportunities to query these information sources in an automated and independent manner. In the domain of information extraction, automatic wrapper(More)