Search Results - "Been-Chian Chien"

Mining from incomplete quantitative data by fuzzy rough sets by Hong, Tzung-Pei, Tseng, Li-Huei, Chien, Been-Chian

“…Machine learning can extract desired knowledge from existing training examples and ease the development bottleneck in building expert systems. Most learning…”
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Large-scale image annotation with image–text hybrid learning models by Chien, Been-Chian, Ku, Chia-Wei

“…Managing large-scale image data becomes an important research issue due to the considerably increasing of digital images of late years. For retrieving images…”
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Classifier design with feature selection and feature extraction using layered genetic programming by Lin, Jung-Yi, Ke, Hao-Ren, Chien, Been-Chian, Yang, Wei-Pang

“…This paper proposes a novel method called FLGP to construct a classifier device of capability in feature selection and feature extraction. FLGP is developed…”
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Mining Fuzzy Association Rules on Has-A and Is-A Hierarchical Structures by Chien, Been-Chian, Zhong, Ming-Huang, Wang, Jeng-Jung

“…Preliminary studies on data mining focus on finding association rules from transaction databases containing items without relationships among them. However,…”
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Designing a classifier by a layered multi-population genetic programming approach by Lin, Jung-Yi, Ke, Hao-Ren, Chien, Been-Chian, Yang, Wei-Pang

“…This paper proposes a method called layered genetic programming (LAGEP) to construct a classifier based on multi-population genetic programming (MGP). LAGEP…”
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Features Selection based on Rough Membership and Genetic Programming by Been-Chian Chien, Jui-Hsiang Yang

“…This paper discusses the feature selection problem upon supervised learning. A learning method based on rough sets and genetic programming is proposed to…”
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A two-level relevance feedback mechanism for image retrieval by Cheng, Pei-Cheng, Chien, Been-Chian, Ke, Hao-Ren, Yang, Wei-Pang

“…Content-based image retrieval (CBIR) is a group of techniques that analyzes the visual features (such as color, shape, texture) of an example image or image…”
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Learning coverage rules from incomplete data based on rough sets by HONG, Tzung-Pei, TSENG, Li-Huei, CHIEN, Been-Chian

“…In this paper, we deal with the problem of producing a set of certain and possible rules for coverage of incomplete data sets based on rough sets. All the…”
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Learning fuzzy concept hierarchy and measurement with node labeling by Chien, Been-Chian, Hu, Chih-Hung, Ju, Ming-Yi

“…A concept hierarchy is a kind of general form of knowledge representation. Most of the previous researches on describing the concept hierarchy use tree-like…”
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Feature Reduction for Text Categorization Using Cluster-Based Discriminant Coefficient by Li-Ju Gao, Been-Chian Chien

“…Text classification is an important research topic for managing numerous electronic documents. Feature reduction is the key issue for text classification with…”
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ONTOLOGY-BASED INFORMATION RETRIEVAL USING FUZZY CONCEPT DOCUMENTATION by Chien, Been-Chian, Hu, Chih-Hung, Ju, Ming-Yi

“…Ontology is a conceptualization of a knowledge domain being shared by a group of users and represented as a machine-readable format. Embedding ontology into…”
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Learning discriminant functions with fuzzy attributes for classification using genetic programming by Chien, Been-Chian, Lin, Jung Yi, Hong, Tzung-Pei

“…Classification is one of the important tasks in developing expert systems. Most of the previous approaches for classification problem are based on…”
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Generating hierarchical fuzzy concepts from large databases by Been-Chian Chien, Chih-Hung Hu, Hsu, S.-J.

“…A concept hierarchy is a kind of concise and general form of knowledge representations. Concept description is vague for human knowledge generally. Crisp…”
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Learning effective classifiers with Z-value measure based on genetic programming by Chien, Been-Chian, Lin, Jung-Yi, Yang, Wei-Pang

“…This paper presents a learning scheme for data classification based on genetic programming. The proposed learning approach consists of an adaptive incremental…”
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Mining Fuzzy Multiple-Level Association Rules from Quantitative Data by Hong, Tzung-Pei, Lin, Kuei-Ying, Chien, Been-Chian

“…Machine-learning and data-mining techniques have been developed to turn data into useful task-oriented knowledge. Most algorithms for mining association rules…”
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Intelligent Information Retrieval Applying Automatic Constructed Fuzzy Ontology by Been-Chian Chien, Chih-Hung Hu, Ming-Yi Ju

“…Ontology is a conceptualization of a knowledge domain being shared by a group of users. Embedding ontology into information retrieval is a natural way to…”
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Clustering and refinement of hierarchical concept from categorical databases based on rough sets by CHIEN, Been-Chian, LIAO, Su-Yu

“…Discovering knowledge from large databases is a challenge in many applications. The implicit meanings of knowledge can be repressed by different knowledge…”
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Initiative prevention strategy for context inconsistency in smart home by Been-Chian Chien, Yuen-Kuei Hsueh

“…A context-aware system generally integrates many different kinds of information techniques to build a computing environment for serving users anytime,…”
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A hybrid approach for automatic schema matching by Been-Chian Chien, Shiang-Yi He

“…To manipulate semantic web and integrate different data sources effectively, automatic schema matching plays a key role. We present a hybrid schema matching…”
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A discriminant based document analysis for text classification by Yi-Xian Lin, Been-Chian Chien

“…Text classification technologies rely heavily on the distribution of features, and the selection of discriminant features with regards to the classes as the…”
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