Rule Discovery for (Semi-)automatic Repairs of ETL Processes

Diagnosis of Diseases: Classification Rule Discovery from Medical Data using Genetic Algorithm with Suppressor Mutation

2020 International Conference on System, Computation, Automation and Networking (ICSCAN) ◽

10.1109/icscan49426.2020.9262429 ◽

2020 ◽

Author(s):

E. Thamizhselvi ◽

Geetha Vaithianathan

Keyword(s):

Genetic Algorithm ◽

Medical Data ◽

Suppressor Mutation ◽

Classification Rule ◽

Rule Discovery ◽

Diagnosis Of Diseases

Download Full-text

Cancer Biomarker Rule Discovery

2018 21st Saudi Computer Society National Computer Conference (NCC) ◽

10.1109/ncg.2018.8592934 ◽

2018 ◽

Author(s):

Hala AlShamlan ◽

Lamia Almoajil ◽

Khawlah AlBabtain ◽

Manal BinShalaan ◽

Rand AlMahmoud ◽

...

Keyword(s):

Cancer Biomarker ◽

Rule Discovery

Download Full-text

RQL: A Query Language for Rule Discovery in Databases

Theoretical Computer Science ◽

10.1016/j.tcs.2016.11.004 ◽

2017 ◽

Vol 658 ◽

pp. 357-374 ◽

Cited By ~ 4

Author(s):

Brice Chardin ◽

Emmanuel Coquery ◽

Marie Pailloux ◽

Jean-Marc Petit

Keyword(s):

Query Language ◽

Rule Discovery

Download Full-text

A semi-automatic neighborhood rule discovery approach

Applied Geography ◽

10.1016/j.apgeog.2017.08.014 ◽

2017 ◽

Vol 88 ◽

pp. 73-83 ◽

Cited By ~ 6

Author(s):

Tong Wang ◽

Qi Han ◽

Bauke de Vries

Keyword(s):

Rule Discovery

Download Full-text

Diagnosis Rule Discovery Based on Causality in the Context of Fault Diagnosis in Rotating Machinery

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.532.113 ◽

2014 ◽

Vol 532 ◽

pp. 113-117

Author(s):

Zhou Jin ◽

Ru Jing Wang ◽

Jie Zhang

Keyword(s):

Fault Diagnosis ◽

General Framework ◽

Complex Structure ◽

Rotating Machinery ◽

Massive Data ◽

Formal Definition ◽

Rule Discovery ◽

Rule Based ◽

Simple Implementation ◽

Definition Of

The rotating machineries in a factory usually have the characteristics of complex structure and highly automated logic, which generated a large amounts of monitoring data. It is an infeasible task for uses to deal with the massive data and locate fault timely. In this paper, we explore the causality between symptom and fault in the context of fault diagnosis in rotating machinery. We introduce data mining into fault diagnosis and provide a formal definition of causal diagnosis rule based on statistic test. A general framework for diagnosis rule discovery based on causality is provided and a simple implementation is explored with the purpose of providing some enlightenment to the application of causality discovery in fault diagnosis of rotating machinery.

Download Full-text