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ProcessExplorer: Intelligent Process Mining Guidance

2019
Large amount of data is collected in event logs from information systems, reflecting the actual execution of business processes. Due to the highly competitive pressure in the market, organizations are particularly interested in optimizing their processes.
Alexander Seeliger   +3 more
openaire   +2 more sources

Mining WiFi Data for Business Intelligence

2013 Eighth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, 2013
The WiFi networks provide an ease of accessing email, Web, and other Internet applications while on the move. However, deploying additional WiFi hotspots that can provide both increased coverage and enhance user quality of service largely depends upon the number of access points already existing and user densities.
Deepali Arora   +2 more
openaire   +1 more source

Artificial Intelligence in Mining

The mining industry has long faced hazardous work conditions, labor-intensive tasks, and operational inefficiencies. Recent advances in artificial intelligence (AI) offer new possibilities to improve safety, productivity, and sustainability. This chapter examines how AI supports miners through hazard detection, predictive maintenance, and resource ...
Arun Agrawal   +7 more
openaire   +1 more source

The role of computational intelligence in data mining

IRI -2005 IEEE International Conference on Information Reuse and Integration, Conf, 2005., 2005
In this paper, we explore the interdependent roles of computational intelligence, data mining, and machine learning. We explain how these three seemingly independent AI specialties are inextricably linked through the science of randomization and reuse.
Stuart Harvey Rubin   +2 more
openaire   +2 more sources

Data mining and audience intelligence for advertising

ACM SIGKDD Explorations Newsletter, 2007
Growth in the global advertising industry - especially the recent rapid growth in online advertising - has generated large volumes of data, bringing along with it many challenging data mining problems. Researchers from various disciplines have brought their expertise to solve these exciting problems, leading to a plethora of novel ...
Ying Li 0040   +2 more
openaire   +1 more source

Intelligent Text Mining

2007
This chapter introduces a novel evolutionary model for intelligent text mining. The model deals with issues concerning shallow text representation and processing for mining purposes in an integrated way. Its aims are to look for interesting explanatory knowledge across text documents. The approach uses natural-language technology and genetic algorithms
openaire   +1 more source

Intelligent Mining

2023
Wang Liguan, Xu Kuangdi
openaire   +1 more source

Research and practice of intelligent coal mine technology systems in China

International Journal of Coal Science and Technology, 2022
Shixin Gong
exaly  

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