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Your search keyword '"Data Mining classification"' showing total 26 results

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26 results on '"Data Mining classification"'

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1. PREDICTION OF COOPERATIVE LOAN FEASIBILITY USING THE K-NEAREST NEIGHBOR ALGORITHM

2. Experiencing KEEL Software: Application to Fatigue Data Segment Classification.

3. Science, Technology and Innovation Policy Indicators and Comparisons of Countries through a Hybrid Model of Data Mining and Operation Research Methods

4. Rules extraction from constructively trained neural networks based on genetic algorithms

5. Multi-label fault diagnosis based on Convolutional Neural Network and Cyclic Spectral Coherence

6. Science, Technology and Innovation Policy Indicators and Comparisons of Countries through a Hybrid Model of Data Mining and MCDM Methods.

7. The influence of preprocessing on text classification using a bag-of-words representation.

8. MVApp-Multivariate Analysis Application for Streamlined Data Analysis and Curation.

9. Particle swarm optimization for network-based data classification.

10. ChromClust: A semi-supervised chromatin clustering toolkit for mining histone modifications interplay.

11. The value of Retrospective and Concurrent Think Aloud in formative usability testing of a physician data query tool.

12. Determine the therapeutic role of radiotherapy in administrative data: a data mining approach.

13. Validating the Access to an Electronic Health Record: Classification and Content Analysis of Access Logs.

14. Development of an Adolescent Depression Ontology for Analyzing Social Data.

15. General vs health specialized search engine: a blind comparative evaluation of top search results.

16. Insights into the prevalence of software project defects.

17. Automated "disease/no disease" grading of age-related macular degeneration by an image mining approach.

18. A study of machine-learning-based approaches to extract clinical entities and their assertions from discharge summaries.

19. Automatic extraction of relations between medical concepts in clinical texts.

20. 2010 i2b2/VA challenge on concepts, assertions, and relations in clinical text.

21. The Yale cTAKES extensions for document classification: architecture and application.

22. Machine-learned solutions for three stages of clinical information extraction: the state of the art at i2b2 2010.

23. A flexible framework for deriving assertions from electronic medical records.

24. MITRE system for clinical assertion status classification.

25. A knowledge discovery and reuse pipeline for information extraction in clinical notes.

26. Automated concept-level information extraction to reduce the need for custom software and rules development.

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