scholarly journals Automatic weighted matching rectifying rule discovery for data repairing

2020 ◽  
Vol 29 (6) ◽  
pp. 1433-1447
Author(s):  
Hiba Abu Ahmad ◽  
Hongzhi Wang
Keyword(s):  
Rule Discovery ◽  
Weighted Matching ◽  
Data Repairing

scholarly journals Scaling Algorithms for Weighted Matching in General Graphs

2018 ◽  
Vol 14 (1) ◽  
pp. 1-35 ◽  
Author(s):  
Ran Duan ◽  
Seth Pettie ◽  
Hsin-Hao Su
Keyword(s):  
Weighted Matching ◽  
Scaling Algorithms ◽  
General Graphs

Cancer Biomarker Rule Discovery

2018 ◽  
Author(s):  
Hala AlShamlan ◽  
Lamia Almoajil ◽  
Khawlah AlBabtain ◽  
Manal BinShalaan ◽  
Rand AlMahmoud ◽  
...  
Keyword(s):  
Cancer Biomarker ◽  
Rule Discovery

scholarly journals RQL: A Query Language for Rule Discovery in Databases

2017 ◽  
Vol 658 ◽  
pp. 357-374 ◽  
Author(s):  
Brice Chardin ◽  
Emmanuel Coquery ◽  
Marie Pailloux ◽  
Jean-Marc Petit
Keyword(s):  
Query Language ◽  
Rule Discovery

A semi-automatic neighborhood rule discovery approach

2017 ◽  
Vol 88 ◽  
pp. 73-83 ◽  
Author(s):  
Tong Wang ◽  
Qi Han ◽  
Bauke de Vries
Keyword(s):  
Rule Discovery

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

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.

scholarly journals Web-ADARE: A web-aided data repairing system

2017 ◽  
Vol 253 ◽  
pp. 201-214 ◽  
Author(s):  
Binbin Gu ◽  
Zhixu Li ◽  
Qiang Yang ◽  
Qing Xie ◽  
An Liu ◽  
...  
Keyword(s):  
Data Repairing
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