A single datum or a set of a categorical data has little value on its own. Combinations of disparate sets of data increase the value of those data sets and helps to discover intere...
Tope Omitola, Christos L. Koumenides, Igor O. Popo...
Very large databases are required to store massive amounts of data that are continuously inserted and queried. Analyzing huge data sets and extracting valuable pattern in many appl...
Abstract. Recent times have seen an explosive growth in the availability of various kinds of data. It has resulted in an unprecedented opportunity to develop automated data-driven ...
Abstract-Wikipedia is an example of the collaborative, semi-structured data sets emerging on the Web. These data sets have large, nonuniform schema that require costly data integra...
Bryan Chan, Leslie Wu, Justin Talbot, Mike Cammara...
In this work, we study a visual data mining problem: Given a set of discovered overlapping submatrices of interest, how can we order the rows and columns of the data matrix to bes...
Ruoming Jin, Yang Xiang, David Fuhry, Feodor F. Dr...