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- 9Data mining
- 2Flow graph
- 2Machine learning
- 1Automatic classification
- 1Cash-flow analysis
- 1Cluster analysis--Computer programs
- 1Antonie, Catalina Maria-Luiza.
- 1Araya, Ruben
- 1Chiteri, Martin
- 1Fortin, Scott
- 1Foss, Andrew P. O.
- 1Geobel, Randy
Industrial construction covers a wide range of projects including petroleum refineries, chemical and power plants, which involve several disciplines such as civil, mechanical, and electrical. Different trades often depend on scaffolds to access their work areas. Quantification of scaffold...
Cash is the most important resource at the disposal of a construction company, and management of cash has a direct impact on long- and short-term company performance. Accurately predicting the amount of cash-flow expected from particular construction operations, however, remains challenging due...
This thesis introduces FlowGSP, a general-purpose sequence mining algorithm for flow graphs. FlowGSP ranks sequences according to the frequency with which they occur and according to their relative cost. This thesis also presents two parallel implementations of FlowGSP. The first implementation...
The Web, being the most popular component of the Internet, has been transformed from a static information-serving medium into a fully interactive platform. This platform has been used by developers to create web applications rivaling traditional desktop systems. Designing, developing and...
Flow graphs are an abstraction used to represent elements travelling through a network of nodes. The paths between nodes are directed edges in the graph, and the amount or transmission frequency of elements that go through the paths are edge weights. If additional data is associated with the...
Multiple studies have reported results of activities focused on development of different algorithms for prognosis of failures of apparatuses and machines. Failure prediction allows to schedule maintenance activities, increase productivity, and decrease inventory of spare parts. Construction of...
Multi-Level Association Rule Mining: An Object-Oriented Approach based on Dynamic HierarchiesDownload
Technical report TR96-15. Previous studies in data mining have yielded efficient algorithms for discovering association rules. But it is well-known problem that the two controlling measures of support and confidence, when used as the sole definition of relevant association rules, are too...