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Active Learning of Constraints for Semi-Supervised Clustering
Active Learning of Constraints for Semi-Supervised Clustering. Semi-supervised clustering aims to im..
Hierarchical Feature Selection for Random Projection
Random projection is a popular machine learning algorithm, which can be implemented by neural networ..
Social-aware Sequential Modelling of User Interests: A Deep Learning Approach
In this paper, we propose to leverage the emerging deep learning techniques for sequential modeling ..
To Identify Tree Species with Highly Similar Leaves Based on A Novel Attention Mechanism for CNN
Image identification technology has great significance for forestry production and forestry managem..
FoCUS: Learning to Crawl Web Forums
ABSTRACTIn this paper, we present Forum Crawler Under Supervision (FoCUS), a supervised web-..
Hybrid decision tree and naive Bayes classifiers for multi-class classification tasks
Independent hybrid mining algorithms to increase the classification accuracy rates of decision tree ..
A combined mining-based framework for predicting telecommunications customer payment behaviors
Most existing data mining algorithms apply data-driven data mining technologies. The major disadvant..
A Computational Dynamic Trust Model for User Authorizationic
Nowadays security and privacy issues take a major role in multi-agent system. Mostly multi-agent sys..
A Contextual Data Mining Approach Toward Assisting the Treatment of Anxiety Disorders
The term “stress” is often used alternatively to the term “anxiety” in order to emphasize the role o..
A decision-theoretic rough set approach for dynamic data mining
Uncertainty and fuzziness generally exist in real-life data. Approximations are employed to describe..
A distributed ensemble approach for mining healthcare data under privacy constraints
Electronic Health Records (EHRs) has been used in many healthcare centres in order to improve the pa..
A Framework for learning comprehensible Theories in Xml Document Classification
The increasing amount of XML datasets available to casual users increases the necessity of investiga..
A framework for processing large scale geospatial and remote sensing data in Map Reduce environment
Every day a large number of Earth observation (E O) space borne and airborne sensors from many diffe..
A Fuzzy Preference Tree-Based Recommender System for Personalized Business-to-Business E-Services
In real world applications, Internet plays a vital role on B2B e-services. B..
A General Technique for Top-k Geometric Intersection Query Problems
In a given geometric objects, set of objects are retrieved as results for the given query. The probl..