[PDF] Top 20 A New Sentence Reduction based on Decision Tree Model
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A Decision Tree Model Based on Preference Cost Sensitive
... The decision tree classification algorithm has been applied in the data mining area widely, due to its low complexity, rapid classification and strong scalability ...classical decision tree ... See full document
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Sentence Simplification as Tree Transduction
... a new prob- abilistic STSG approach for sentence simplifica- tion, ...the model probabilistic instead of discriminative, allowing for an efficient, unified framework that can be easily interpreted ... See full document
10
A Novel Ensemble Based Decision Tree Model For High Dimensional Biomedicine Data
... traditional decision tree models on medical datasets. A novel decision trees allows estimating on topmost features to assess the class prior probability and estimates the chance of misleading false ... See full document
5
MULTIMODAL CHOICE MODELING USING RANDOM FOREST DECISION TREES
... of new transport ...in decision making process of the commuter while choosing the mode that renders highest utility to ...(RF) Decision Tree (DT) method. The RF model is one of the most ... See full document
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Analysis of Tree Based Supervised Learning Algorithms on Medical Data
... different tree based classification algorithms on six datasets pertaining to medical ...the tree growing methods of decision tree classification algorithms such as Gini Index, ... See full document
5
Performance Analysis on Uncertain Data using Decision Tree
... the decision tree algorithms and concluded that C4.5 decision tree algorithm has a much better performance than the other two techniques based on their researches ...[8]. ... See full document
5
Selecting a representative decision tree from an ensemble of decision-tree models for fast big data classification
... The tree selection procedure can be deployed on a single machine, since it deals with the REDUCE phase of processing all models, which have been induced in the distributed (MAP) phase on multiple local ...induced ... See full document
17
Classifying High-Speed Data Streams Using Statistical Decision Trees
... main decision tree methods for data streams classification, briefly highlighting the contributions of each ...basic decision tree algorithm for data stream classification called Hoeffding ... See full document
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DLRS:Deep Learning Based Recommender System for Smart Healthcare Ecosystem
... learning based recommender system for SDN-enabled healthcare ecosystem is ...dimensionality reduction approach is applied on the data to obtain reduced data, which consists of less but valuable ...specific ... See full document
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Generating Optimized Decision Tree Based on Discrete Wavelet Transform Kiran Kumar Reddi* 1Ali Mirza Mahmood2 K.Mrithyumjaya Rao 3
... the decision making operations through mass data mining ...optimization decision tree is now an active research ...optimized decision tree with multi-attribute data source is considered ... See full document
8
A Decision Tree Model for Software Development Teams
... class. Decision tree application is mostly avoided to put into practice for having a key drawback as its applications are based on the concepts of ...to new data ... See full document
5
A Model for Intrusion Detection based on Negative Selection Algorithm and J48 Decision Tree
... J48 Decision Tree classification algorithm follows the following simple ...a new item, it first needs to construct a decision tree based on the values of the attribute of the ... See full document
9
A Monolingual Tree based Translation Model for Sentence Simplification
... future. Based on our observations, the current model performs well for word substitution and ...the new sentences is still ...problematic sentence: “She has an brother and a ... See full document
9
Probabilistic Human Computer Trust Handling
... The main objective of the participants to organize four parties for friends or relatives in a web-based environment. This means that they had to use the browser at home or the university to organize for example, ... See full document
9
Impact of Instance Reduction Filters on Ensembled Decision Tree Classifier
... performed based on accuracy measures and execution ...instance reduction filter technique is the most promising research direction for ensemble decision tree classification algorithm ... See full document
5
The characters recognition method of license plate based on LSSVM
... Number in the license plate recognition, for example, the license plate digital image is as a feature vector during the license plate number to identify the training. And then the Least Squares Support Vector Machines ... See full document
8
The Adaptability of Decision Tree Method in Mining Industry Safety Data
... Data mining is a process of extracting hidden relationships and patterns in data and delivering results that can either be utilized in an automated decision support system or easily accessed by a human analyst ... See full document
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<p>A New Immunological Prognostic Model Based on Immunohistochemistry for Extranodal Natural Killer/T-Cell Lymphoma Patients After Non-Anthracycline-Based Chemotherapy</p>
... a new prognostic model that singled out 3 groups with different risk pro fi les: group 1, no adverse factors; group 2, 1 adverse factor; and group 3, 2 adverse ...the new immunological prognostic ... See full document
10
Personalized Thermal Comfort Model with Decision Tree
... Moreover, many researchers in HVAC control has investigated much on reinforcement learning control (RL) recently. RL problems involve learning what to do—how to map situations to actions—so as to maximize a numerical ... See full document
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