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Toplam kayıt 13, listelenen: 1-10
Semantic Query Suggestion Based on Optimized Random Forests
(2019)
Query suggestion is an integral part of Web search engines. Data-driven approaches to query suggestion aim to identify more relevant queries to users based on term frequencies and hence cannot fully reveal the underlying ...
Ensemble Learning Based Feature Selection with an Application to Text Classification
(2018)
An important problem of text classification is high dimensionality. The performance of different feature selection methods can change based on the characteristics of different datasets. In this study, a feature selection ...
Review Spam Detection Based on Psychological and Linguistic Features
(2018)
With the advances in information and communication technologies, the immense quantity of review texts have become available on the Web. Review text can serve as an essential source of information for individual decision ...
Biomedical Text Categorization Based on Ensemble Pruning and Optimized Topic Modelling
(2018)
Text mining is an important research direction, which involves several fields, such as information retrieval, information extraction, and text categorization. In this paper, we propose an efficient multiple classifier ...
An ensemble scheme based on language function analysis and feature engineering for text genre classification
(FEB)
Text genre classification is the process of identifying functional characteristics of text documents. The immense quantity of text documents available on the web can be properly filtered, organised and retrieved with the ...
A K-medoids Based Clustering Scheme with an Application to Document Clustering
(2017)
Clustering is an important unsupervised data analysis technique, which divides data objects into clusters based on similarity. Clustering has been studied and applied in many different fields, including pattern recognition, ...
Hybrid supervised clustering based ensemble scheme for text classification
(2017)
Purpose - The immense quantity of available unstructured text documents serve as one of the largest source of information. Text classification can be an essential task for many purposes in information retrieval, such as ...
Sarcasm Identification on Twitter: A Machine Learning Approach
(2017)
In recent years, the remarkable growth in social media and microblogging platforms provide an essential source of information to identify subjective information of people, such as opinions, sentiments and attitudes. Sentiment ...
A fuzzy-rough nearest neighbor classifier combined with consistency-based subset evaluation and instance selection for automated diagnosis of breast cancer
(NOV 15)
Breast cancer is one of the most common and deadly cancer for women. Early diagnosis and treatment of breast cancer can enhance the outcome of the patients. The development of classification models with high accuracy is ...
Classifier and feature set ensembles for web page classification
(APR)
Web page classification is an important research direction on web mining. The abundant amount of data available on the web makes it essential to develop efficient and robust models for web mining tasks. Web page classification ...