Results 281 to 290 of about 300,914 (309)

CONSOLIDATING A HEURISTIC FOR INCREMENTAL DECISION TREE LEARNING THROUGH ASYMPTOTIC ANALYSIS

International Journal on Artificial Intelligence Tools, 2011
This paper addresses stability issues in incremental induction of decision trees. Stability problems arise when an induction algorithm must revise a decision tree very often and oscillations between similar concepts decrease learning speed. We review a heuristic that solves this problem and subsequently employ asymptotic analysis to approximate the ...
Athanasios Papagelis, Yannis C. Stamatiou, Dimitris Kalles   +2 more
openaire   +2 more sources

Safety Content Filtering Based on Incremental Induction of Decision Trees

2012 Sixth International Conference on Internet Computing for Science and Engineering, 2012
This paper presents a novel method of safety content filtering exploiting incremental induction of decision trees. Via defining an appropriate attribute space, this approach adapts the security content filtering task to online incremental induction of decision trees learning framework.
openaire   +2 more sources

Sample selection based on multiple incremental decision trees in BSP programming library

2012 International Conference on Machine Learning and Cybernetics, 2012
The sample selection is a key in the active learning, because it intends to select the best informative sample which has no label from the pool or online. And then the selected sample needs to be added into the training sets for updating the classifier.
Xue-Zheng Wang, Jianjian Wang, Yi Wang, Shuo Wang   +3 more
openaire   +2 more sources

Research on time series data mining algorithm based on Bayesian node incremental decision tree

Cluster Computing, 2017
Xingrong Sun
semanticscholar   +2 more sources

Incrementally Optimized Decision Tree for Mining Imperfect Data Streams

2012
The Very Fast Decision Tree (VFDT) is one of the most important classification algorithms for real-time data stream mining. However, imperfections in data streams, such as noise and imbalanced class distribution, do exist in real world applications and they jeopardize the performance of VFDT.
Hang Yang, Simon Fong
openaire   +2 more sources

Incremental Fuzzy Decision Tree-Based Network Forensic System

2005
Network forensic plays an important role in the modern network environment for computer security, but it has become a time-consuming and daunting task due to the sheer amount of data involved. This paper proposes a new method for constructing incremental fuzzy decision trees based on network service type to reduce the human intervention and time-cost ...
Dengguo Feng, Zaiqiang Liu
openaire   +2 more sources

Incremental Response Modeling Based on Segmentation Approach Using Uplift Decision Trees

2016
Data mining methods have been successfully used in direct marketing to model the behavior of responders. But these response models do not take in account, the behavior of customers who would take an action irrespective of marketing action. Redundant marketing communications sometimes annoy the customer and reduce the brand value of the company ...
Shruti Agrawal, Shishir Shekhar, Sankara Prasad Kondareddy   +2 more
openaire   +2 more sources

Improving the Accuracy of Incremental Decision Tree Learning Algorithm via Loss Function

IEEE International Conference on Computational Science and Engineering, 2013
Yang Hang, S. Fong
semanticscholar   +1 more source

An incremental decision tree learning methodology regarding attributes in medical data mining

International Conference on Machine Learning and Computing, 2009
S. Chao, F. Wong
semanticscholar   +1 more source

Incremental possibilistic decision trees in non-specificity approach

Data Science and Knowledge Engineering for Sensing Decision Support, 2018
Zied Elouedi, Mohamed Sofien Boutaib
openaire   +1 more source