A logical design methodology for relational databases using the extended entity-relationship model
ACM Computing Surveys (CSUR)
Information engineering, planning & analysis: book 2
Information engineering, planning & analysis: book 2
Identifying Extended Entity-Relationship Object Structures in Relational Schemas
IEEE Transactions on Software Engineering
Towards a semantic view of an extended entity-relationship model
ACM Transactions on Database Systems (TODS)
Designing quality databases with IDEF1X information models
Designing quality databases with IDEF1X information models
From data mining to knowledge discovery: an overview
Advances in knowledge discovery and data mining
The entity-relationship model—toward a unified view of data
ACM Transactions on Database Systems (TODS) - Special issue: papers from the international conference on very large data bases: September 22–24, 1975, Framingham, MA
A relational model of data for large shared data banks
Communications of the ACM
An Apriori-Based Algorithm for Mining Frequent Substructures from Graph Data
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Efficient Text Mining with Optimized Pattern Discovery
CPM '02 Proceedings of the 13th Annual Symposium on Combinatorial Pattern Matching
MDA Explained: The Model Driven Architecture: Practice and Promise
MDA Explained: The Model Driven Architecture: Practice and Promise
ACM SIGMIS Database
Video Data Mining: Mining Semantic Patterns with temporal constraints from Movies
ISM '05 Proceedings of the Seventh IEEE International Symposium on Multimedia
Pattern Discovery of Fuzzy Time Series for Financial Prediction
IEEE Transactions on Knowledge and Data Engineering
A Clustering Algorithm for Time Series Data
PDCAT '06 Proceedings of the Seventh International Conference on Parallel and Distributed Computing, Applications and Technologies
A UML profile for multidimensional modeling in data warehouses
Data & Knowledge Engineering - Special issue: ER 2003
A UML-based data warehouse design method
Decision Support Systems
Comparing Posturographic Time Series through Events Detection
CBMS '08 Proceedings of the 2008 21st IEEE International Symposium on Computer-Based Medical Systems
A UML profile for the conceptual modelling of data-mining with time-series in data warehouses
Information and Software Technology
Information and Software Technology
Generating time series reference models based on event analysis
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Evolution of XML schemas and documents from stereotyped UML class models: A traceable approach
Information and Software Technology
Modeling process-related RBAC models with extended UML activity models
Information and Software Technology
Information and Software Technology
Hybrid methodology for data warehouse conceptual design by UML schemas
Information and Software Technology
On the Time Series K-Nearest Neighbor Classification of Abnormal Brain Activity
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Comprehensive two-level analysis of role-based delegation and revocation policies with UML and OCL
Information and Software Technology
| Hi-index | 0.00 |
Context: Domains where data have a complex structure requiring new approaches for knowledge discovery from data are on the increase. In such domains, the information related to each object under analysis may be composed of a very broad set of interrelated data instead of being represented by a simple attribute table. This further complicates their analysis. Objective: It is becoming more and more necessary to model data before analysis in order to assure that they are properly understood, stored and later processed. On this ground, we have proposed a UML extension that is able to represent any set of structurally complex hierarchically ordered data. Conceptually modelled data are human comprehensible and constitute the starting point for automating other data analysis tasks, such as comparing items or generating reference models. Method: The proposed notation has been applied to structurally complex data from the stabilometry field. Stabilometry is a medical discipline concerned with human balance. We have organized the model data through an implementation based on XML syntax. Results: We have applied data mining techniques to the resulting structured data for knowledge discovery. The sound results of modelling a domain with such complex and wide-ranging data confirm the utility of the approach. Conclusion: The conceptual modelling and the analysis of non-conventional data are important challenges. We have proposed a UML profile that has been tested on data from a medical domain, obtaining very satisfactory results. The notation is useful for understanding domain data and automating knowledge discovery tasks.