Filtering Algorithm Based on Feature Word Weighting
Improved Collaborative Filtering using Evolutionary Algorithm based Feature Extraction
... on feature selection and feature extraction in order to reduce the data dimension and thus make the recommendation process more ...are based on extracting content based ...algorithms ...
7
Feature Weighting Improvement of Web Text Categorization Based on Particle Swarm Optimization Algorithm
... tag weighting coefficients could not be ...The feature tag weighting algorithm takes into account the influence of HTML tags ...result, feature tag weighting algorithm ...
8
Feature weighting algorithm for decision support system of innovation policies
... the feature subset selection ...the feature subset selection ...the feature subsets based on an a priori criteria such as correlation, entropy or information acquisition directly from the ...
91
Random Forest Weighting based Feature Selection for C4.5 Algorithm on Wart Treatment Selection Method
... rule- based fuzzy system ...with Feature Selection. The process then proceeds with the Apriori algorithm to extract the rules and methods as Prior research ...
6
Research of Feature Weighting Method Based on Document Structure
... the feature is ...to feature word such as theme classification, ...to feature importance on one hand, meanwhile, relative position relationship of the feature in documents also can ...
6
Feature Weighting for Co occurrence based Classification of Words
... each feature and weight it ...of feature weighting methods existing in machine learning, these methods are poorly explored in application to lexical ...where word representations are modified ...
7
A survey on feature weighting based K-Means algorithms
... this algorithm can be found in various software packages commonly used to analyse data, including SPSS, MATLAB, R, and ...single feature in a data set equally, regardless of its actual degree of ...K-Means ...
29
Infinite feature selection: a graph-based feature filtering approach
... The Feature Selection concaVe (FSV) [ 11 ] generates a separating plane by minimizing a weighted sum of distances of misclassified points to the two margin planes, minimizing the number of dimensions of the space ...
16
Fuzzy C-means based on Automated Variable Feature Weighting
... clustering algorithm and has been introduced to overcome the crisp definition of similarity and ...FCM algorithm based on the method proposed by Huang by automated feature ...proposed ...
5
Mining Important Comments of Micro Blog Based on Feature Weighting
... INTRODUCTION Microblogging has become a very popular way for people to share thoughts, information, links, news and express their opinions. On Sina Weibo, one of the most popular microblogging services in China, more ...
6
Textual case-based reasoning for spam filtering: a comparison of feature-based and feature-free approaches
... compression algorithm does not matter greatly and supports the findings in (Cilibrasi and Vitanyi, 2005), where results on clustering tasks were fairly robust over different ...using feature-based ...
19
Clustering approach based on feature weighting for recommendation system in movie domain
... Although, there is no proof that shows the current result of recommendation systems being useless or not useful for customer. But the findings of this study are very important to improve results of recommendation system ...
26
Feature weighting using a clustering approach
... the feature selection has attracted a lot of attention due to its great importance and it aims to select the smallest subset with the least error and ...a feature weighting based on the ...
5
Feature Weighting Strategies in Sentiment Analysis
... In the study carried out by Su et al. [5] on MPQA (Multi-Perspective Ques- tion Answering) and movie reviews corpora it is shown that publicly available sentiment lexicons can achieve the performance on par with the ...
8
Word Clustering and Word Selection Based Feature Reduction for MaxEnt Based Hindi NER
... of word clustering and selection as feature reduction tech- niques for MaxEnt based ...of word similarities like cosine sim- ilarity among words and co-occurrence, along with the k-means ...
8
A Semi Supervised Feature Clustering Algorithm with Application to Word Sense Disambiguation
... investigated feature clustering techniques for WSD, which usually group features into clusters based on the distribution of class labels over ...clustering algorithm to satisfy the requirement of ...
8
SoFoCles: Feature filtering for microarray classification based on Gene Ontology
... the feature set used for classification by enriching it with new marker ...applying feature selection ...the feature filtering procedure, in order to im- prove the classification ...identify ...
14
Enhancing Recommendation Accuracy of Item-Based Collaborative Filtering via Item-Variance Weighting
... 3.2. Time-Aware Similarity Computation In an RS, user preferences may change as time goes on, so ratings rated in different period should be assigned different weight [18–20]. For example, consider movies 1, 2 and 3 ...
18
A Score Point based Spam Filtering Genetic Algorithm
... a word of a particular group is detailed below: Lets for an example an email consists of four words namely hotel, luxury, tax, ...match word in spam data dictionary then the probability of getting a ...
6
A Study On Naive Bayes Text Classification Algorithm Based On Position Weighting
... Bayes algorithm in text classification has the limitation of the hypothesis: each attribute is independent in the ...Attribute weighting is an effective method to improve Naive Bayes algorithm, and ...
6