Organizations have long struggled with a lack of horizontal and vertical integration and the
need to achieve high degrees of coordination across the enterprise. The solution to this …

The use of social media networks is becoming a current phenomenon in the world today
where people are sharing posts and tweets, connect with different groups, and share their …

Twitter is a primary social media platform gaining popularity among social networking
websites at an alarming rate. Twitter's popularity and relatively open nature make it an …

Mainstream knowledge management researchers generally agree that knowledge extracted
from unstructured data and semi-structured data have become imperative for organizational …

Heterogeneity is one of the critical aspects of big data that results in data integration
challenges that big data analysis. Heterogeneous data types are also necessary for …

In this paper, we introduce a novel battery of classifiers to resolve artificial inconsistencies
among entity names within large datasets. Using data on the corporate sector, we describe …

We propose a new logic-based language called Log Description Language (LogDL),
designed to be a medium for the knowledge discovery workflows over complex data sets. It …

Text data constitutes the bulk of all enterprise data. Text repositories are not only tacit store-
houses of knowledge about its people, projects and processes but also contain invaluable …

Intelligent decision making highly relies on the ability to combine data from multiple sources
from both within and outside the organization and generate appropriate insights. Multi …

In this paper, we introduce a novel battery of classifiers to resolve artificial inconsistencies
among entity names within large datasets. Using data on the corporate sector, we describe …