C4.5: programs for machine learning
C4.5: programs for machine learning
Data mining for customer service support
Information and Management
Feature Selection for Knowledge Discovery and Data Mining
Feature Selection for Knowledge Discovery and Data Mining
Applying Machine Learning to Semiconductor Manufacturing
IEEE Expert: Intelligent Systems and Their Applications
Applying Data Mining Techniques to Wafer Manufacturing
PKDD '99 Proceedings of the Third European Conference on Principles of Data Mining and Knowledge Discovery
Development of Automated Data Mining System for Quality Control in Manufacturing
DaWaK '01 Proceedings of the Third International Conference on Data Warehousing and Knowledge Discovery
Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management
Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Data mining for yield enhancement in semiconductor manufacturing and an empirical study
Expert Systems with Applications: An International Journal
Process control in CNC manufacturing for discrete components: A STEP-NC compliant framework
Robotics and Computer-Integrated Manufacturing
Short communication: Data mining method for listed companies' financial distress prediction
Knowledge-Based Systems
Knowledge acquisition for decision support systems on an electronic assembly line
Expert Systems with Applications: An International Journal
Knowledge-based system for text classification using ID6NB algorithm
Knowledge-Based Systems
Expert Systems with Applications: An International Journal
Short communication: Data mining based intelligent analysis of threatening e-mail
Knowledge-Based Systems
A virtual metrology system for semiconductor manufacturing
Expert Systems with Applications: An International Journal
Collaborative particle swarm optimization with a data mining technique for manufacturing cell design
Expert Systems with Applications: An International Journal
A rough set approach for selecting clustering attribute
Knowledge-Based Systems
Processing online analytics with classification and association rule mining
Knowledge-Based Systems
A data mining algorithm for designing the conventional cellular manufacturing systems
AI'07 Proceedings of the 20th Australian joint conference on Advances in artificial intelligence
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
Piecewise cloud approximation for time series mining
Knowledge-Based Systems
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In recent years, knowledge has received significant attention in manufacturing to built a competitive advantage in the sector. Knowledge induction from data is an important issue in manufacturing to find the failure of the process then predict and improve the future system performance. This research examines the improvement of manufacturing process via data mining. Not only do we detect and isolate machine breakdowns in carpet manufacturing, but also we propose a C4.5 decision tree model. In addition, we use attribute relevance analysis to select the qualitative attribute's variables. Consequently, manufacturing process is redeveloped.