Search Lots of Essays

Data Base •  Home •  Custom Term Papers •  Free Essays •  Free Term Papers •  Free Research Papers •  Free Book Reports •  Plagiarism? Links   •  Search 101,000 Papers    @ MegaEssays.com •  Search 100,000 Papers    @ DirectEssays.com •  Search 95,000 Papers    @ ExampleEssays.com   Free Essays   •  ChuckIII's Free Essays •  College Term Papers •  Free Essays •  Free College Essays •  Learn Essays •  123 School Work   Contact Us   •  Contact Us

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z ALL You Have Viewed Too Many Free Essays, Term Papers, and Book Reports. Pruning Decision Trees Pruning Decision Trees Review Article Pruning Decision Trees Introduction Expert Systems often utilize massive data structures to store information that later need to be searched. These data structures, called decision trees, are in most cases incomprehensible to a user due to their complexity. Methods of prioritizing, storing, and manipulating these structures have been the subject of exhaustive research. In effort to reduce search time, many algorithms have been invented which simplify, or prune, these trees. There are a large number of ways to implement these algorithms. A good pruning algorithm can have the dual effect of both decreasing the size of a tree and increasing the accuracy or of a search on the tree. This review article will provide interested parties with a concise overview of current pruning methods, a discussion of the tradeoffs between simplicity and accuracy, as well as introducing some new findings in this field of research. Background Most pruning algorithms have many things in common. The basic pruning approach involves replacing a subtree with a leaf node determined by the most common class that was a subset of the original subtree. The pruned tree is tested and verified by a representative validation set. A pruning, tree, error, trees, methods, accuracy, set, pruned, nodes, data, method, algorithms, size, node, based, algorithm, validation, new, decision, been, subtree, leaf, however, two, subtrees, review, pep, often, mccp, knowledge, cost, complexity, common, bottom, using Word Count: 1821 Acceptance_Essays American_History Anatomy_&_Physiology Animal_Science_&_Zoology Anthropology Architecture Art Astronomy Aviation Biographies Book_Reports Business Computers Creative_Writing Current_Events Economics Education Engineering English Environmental_Science Ethics European_History Film_&_TV Foreign_Languages Geography Government_&_Politics Health_&_Beauty History_Other Human_Sexuality Legal_Issues Marketing Mathematics Medicine Miscellaneous Music Mythology Philosophy Physics Poetry Political_Science Psychology Religion Science Shakespeare Social_Issues Sociology Speech Sports_&_Recreation Supernatural Technology Theater Theses_&_Dissertations

Search •  Search 101,00 papers @ Direct Essays
Copyright © 1998-2007 Free-College-Essays.com, All Rights Reserved