Alternating decision tree algorithm for assessing protein interaction reliability
نویسندگان
چکیده
منابع مشابه
The Alternating Decision Tree Learning Algorithm
The application of boosting procedures to de cision tree algorithms has been shown to pro duce very accurate classi ers These classi ers are in the form of a majority vote over a number of decision trees Unfortunately these classi ers are often large complex and di cult to interpret This paper describes a new type of classi cation rule the alternat ing decision tree which is a generalization of...
متن کاملAssessing and Combining Reliability of Protein Interaction Sources
Integrating diverse sources of interaction information to create protein networks requires strategies sensitive to differences in accuracy and coverage of each source. Previous integration approaches calculate reliabilities of protein interaction information sources based on congruity to a designated 'gold standard.' In this paper, we provide a comparison of the two most popular existing approa...
متن کاملA New Algorithm for Optimization of Fuzzy Decision Tree in Data Mining
Decision-tree algorithms provide one of the most popular methodologies for symbolic knowledge acquisition. The resulting knowledge, a symbolic decision tree along with a simple inference mechanism, has been praised for comprehensibility. The most comprehensible decision trees have been designed for perfect symbolic data. Classical crisp decision trees (DT) are widely applied to classification t...
متن کاملVFDT Algorithm for Decision Tree Generation
The purpose of data classification is to construct a classification model. The decision tree algorithm is a more general data classification function approximation algorithm based on machine learning. The decision tree is directed and acyclic. Iterative Dichotomiser 3(ID3) algorithm invented by Ross Quinlan is used to generate decision tree from a dataset. Considering its limitations layer an o...
متن کاملDecision Tree Based Algorithm for Intrusion Detection
Kajal Rai Research Scholar, Department of Computer Science and Applications, Panjab University, Chandigarh, India Email: [email protected] M. Syamala Devi Professor, Department of Computer Science and Applications, Panjab University, Chandigarh, India Email: [email protected] Ajay Guleria System Manager, Computer Center, Panjab University, Chandigarh, India Email: [email protected] -------------------...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Vietnam Journal of Computer Science
سال: 2014
ISSN: 2196-8888,2196-8896
DOI: 10.1007/s40595-014-0018-5