The idea is to do an online pruning using a continuous timestamped dataset...and I wanted to train my model using some data then improve it during the day with some other information that I may receive (i.e. active learning, weather condition, etc.). It could be by prunning (i.e. removing some tree brunches) or by adding more branches to the current leaves. Are there any R packages that support such an implementation? Which would be the best way to do so? Thank you in advance.
hello friend
Yes its possible .
if the dataset contains less number of attributes.
else it may become highly tedious job.
You can see my7 publications for more details about application of trees:
Mandal, I., Sairam, N. New machine-learning algorithms for prediction of Parkinson's disease (2014) International Journal of Systems Science, 45 (3), pp. 647-666. DOI: 10.1080/00207721.2012.724114
Mandal, I., Sairam, N. Accurate telemonitoring of Parkinson's disease diagnosis using robust inference system (2013) International Journal of Medical Informatics, 82 (5), pp. 359-377. DOI: 10.1016/j.ijmedinf.2012.10.006
Mandal, I., Sairam, N. Accurate prediction of coronary artery disease using reliable diagnosis system (2012) Journal of Medical Systems, 36 (5), pp. 3353-3373. DOI: 10.1007/s10916-012-9828-0
Mandal, I., Sairam, N. Enhanced classification performance using computational intelligence (2011) Communications in Computer and Information Science, 204 CCIS, pp. 384-391. DOI: 10.1007/978-3-642-24043-0_39
Mandal, I. Software reliability assessment using artificial neural network (2010) ICWET 2010 - International Conference and Workshop on Emerging Trends in Technology 2010, Conference Proceedings, pp. 698-699. DOI: 10.1145/1741906.1742067
Mandal, I. A low-power content-addressable memory (CAM) using pipelined search scheme (2010) ICWET 2010 - International Conference and Workshop on Emerging Trends in Technology 2010, Conference Proceedings, pp. 853-858. DOI: 10.1145/1741906.1742103
Indrajit Mandal, Developing New Machine Learning Ensembles for Quality Spine Diagnosis, Knowledge-Based Systems, Available online 19 October 2014, ISSN 0950-7051, http://dx.doi.org/10.1016/j.knosys.2014.10.012.
http://www.sciencedirect.com/science/article/pii/S0950705114003797
Mandal, I. A novel approach for accurate identification of splice junctions based on hybrid algorithms (2014) Journal of Biomolecular Structure and Dynamics
pp. 1-10 | DOI: 10.1080/07391102.2014.944218 PMID: 25203504
http://bit.ly/1vQZsei
Thank you.
Best regards,
Dr.Indrajit mandal
- Badges
- Science topic