tree algorithm
DECISION TREE ALGORITHM AND MAPREDUCE TECHNOLOGY: A REVIEW
... decision tree, k-nearest neighbor, Bayesian and neural-net based ...decision tree classification. Decision tree algorithm has high efficiency and accuracy as compared to other classification ...
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Handling Missing Value in Decision Tree Algorithm
... decision tree algorithm which is used here is a kind of simple one in that it simply follows the tree sequentially to obtain a next missing value ...
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Implementation of the meshed tree algorithm on a switched network
... Spanning Tree Protocol (STP), which is based on the Spanning Tree ...Spanning Tree Protocol (RSTP), an enhancement to STP, which also uses ...Meshed Tree Algorithm and the Meshed ...
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Classification with an improved Decision Tree Algorithm
... The important task of classification process is to classify new and unseen sample correctly. By the changes done in algorithm, the classification accuracy is improved by implementing the diversities of ...
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A Survey on Decision Tree Algorithm for Classification
... Decision Tree is an important classification method in data mining ...classical algorithm of the decision tree ID3, ...Decision tree their characteristic, challenges, advantage and ...
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A Streaming Parallel Decision Tree Algorithm
... SPDT algorithm in that they use histograms to process the data in constant time and ...SPDT algorithm and its anal- ...same tree as the standard ...entire tree to be different from the one ...
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Enhanced SLA Tree Algorithm to Support Incremental Tree Building
... By constructing the SLA-Tree, certain profit oriented “what if” questions can be efficiently answered. Answers to these questions in turn can be applied to different profit-oriented decisions in cloud computing ...
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A Review Paper on Multiplier Algorithms for VLSI Technology Kajal Agrawal, Milind Shah, Gaurav Asari
... The general multiplication method is performed by addition, subtraction and shifting operations. After each step of calculation partial product is generated, and this is the main factor that determines the performance of ...
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Performance Analysis of Decision Tree Algorithms on Mushroom Dataset
... Hoeffding Tree Algorithm: Hoeffding Tree uses a statistical method called the Hoeffding bound or additive Cher off bound to decide the splitting criterion of the attribute while constructing the ...
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Title : Design-Efficient Approximate Multiplication Circuits through Partial Product Perforation Author (s) : G.Naren Srivatsav and Shery Radley
... Wallace tree algorithm, Booths algorithm, ...Wallace tree addition and the Booth algorithm is one of the fastest and low power ...
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Fast vector Quantization of Color Image Coding with Single Codebook based on Orthogonal Polynomials
... binary tree algorithm is proposed to construct a single codebook for all the three color components, utilizing the inter-correlation property of the individual color plane as well as interactions among the ...
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Comparison of FP tree and Apriori Algorithm
... FP-Tree algorithm is almost as 8 times faster than the Apriori Algorithm for Association Rule ...Apriori Algorithm, proving it to be far more superior and qualitative in terms of resulting ...
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Density Based Quickly Accessible Neighbour Search with Keywords
... R-Tree Algorithm: The first baseline algorithm, R-Tree, makes use of only an R-Tree data ...the algorithm first finds the top-1 nearest neighbor object to the query point ...NN ...
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Hybrid Decision Tree and Naïve Bayes Classifier for Predicting Study Period and Predicate of Student’s Graduation
... Decision tree is a very powerful and well-known classification ...decision tree method transforms a fact into a decision tree that represents the ...Decision tree algorithm has a high ...
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Implementation of ODMRP Based QoS Multicast Routing in MANET
... routing algorithm. The proposed algorithm is the share tree and mesh based tree algorithm which is used to reduce the bandwidth consumption and end to end ...proposed algorithm ...
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A Tabu Search Algorithm for the Steiner Tree Problem.
... The pilot strategy proposed by Cees Duin and Stefan Voss [2] is a meta heuristic approach which can be applied for solving the steiner tree problem. This meta-heuristic has been proposed by the authors to enable, ...
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An Approximate Algorithm for the Steiner Tree Problem based on Ant Colony Algorithm
... Steiner Tree Problem (STP) is a classic NP- complete ...exact algorithm increases exponentially with the increment of the size of the ...optimization algorithm with data parallelism to solve the ...
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Network Intrusion Detection Using FP Tree Rules
... There are a variety of anomaly detection approaches from several areas, including statistics, machine learning, and data mining. All try to capture the idea that an anomalous data object is unusual or in some way ...
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CCG Parsing Algorithm with Incremental Tree Rotation
... The algorithm works by building left- branching derivations incrementally, but, follow- ing Niv (1993, 1994), as soon as a left branching derivation is built, its derivation tree is rebalanced to be ...
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A Hybrid Algorithm for Solving Steiner Tree Problem
... multicast tree connecting the members of the multicast group. This multicast tree is rooted at the source node and spans all destination nodes such that the communication cost becomes ...Steiner tree ...
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