Enterprise and business process automation
EF Watson III, AH Schwarz - Springer Handbook of Automation, 2023 - Springer
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 …
need to achieve high degrees of coordination across the enterprise. The solution to this …
An analytic framework for enhancing the performance of big heterogeneous data analysis
M Salama, HA Kader… - International Journal of …, 2021 - journals.sagepub.com
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 …
where people are sharing posts and tweets, connect with different groups, and share their …
Twitter bot account detection using supervised machine learning
FN Pramitha, RB Hadiprakoso… - 2021 4th International …, 2021 - ieeexplore.ieee.org
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 …
websites at an alarming rate. Twitter's popularity and relatively open nature make it an …
A framework for capturing and analyzing unstructured and semi-structured data for a knowledge management system
Mainstream knowledge management researchers generally agree that knowledge extracted
from unstructured data and semi-structured data have become imperative for organizational …
from unstructured data and semi-structured data have become imperative for organizational …
TUMKFCM-ELM: An Unsupervised Multiple Kernelized Fuzzy C-Means Extreme Learning Machine Approach for Heterogeneous Datasets
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 …
challenges that big data analysis. Heterogeneous data types are also necessary for …
Collapsing corporate confusion: Leveraging network structures for effective entity resolution in relational corporate data
T Marple, B Desmarais… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
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 …
among entity names within large datasets. Using data on the corporate sector, we describe …
Introducing LogDL–Log Description Language for Insights from Complex Data
M Świechowski, D Ślęzak - 2020 15th Conference on …, 2020 - ieeexplore.ieee.org
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 …
designed to be a medium for the knowledge discovery workflows over complex data sets. It …
Text-driven multi-structured data analytics for enterprise intelligence
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 …
houses of knowledge about its people, projects and processes but also contain invaluable …
Multi-structured data analytics using interactive visualization to aid business decision making
I Verma, L Singh - Proceedings of the 10th Annual ACM India Compute …, 2017 - dl.acm.org
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 …
from both within and outside the organization and generate appropriate insights. Multi …
[PDF][PDF] Collapsing Corporate Confusion
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 …
among entity names within large datasets. Using data on the corporate sector, we describe …