Sisällysluettelo:
“…III Data Mining Methodologies and Processes -- Incremental Learning by Heterogeneous Bagging Ensemble -- CPLDP: An Efficient Large Dataset Processing System Built on Cloud Platform -- A General Multi-relational Classification Approach Using Feature Generation and Selection -- A Unified Approach to the Extraction of Rules from Artificial Neural Networks and Support Vector Machines -- A Clustering-Based Data Reduction for Very Large Spatio-Temporal Datasets -- Change a Sequence into a Fuzzy Number -- Multiple Kernel Learning Improved by MMD -- A Refinement Approach to Handling Model Misfit in Semi-supervised Learning -- Soft Set Approach for Selecting Decision Attribute in Data Clustering -- Comparison of BEKK GARCH and DCC GARCH Models: An Empirical Study -- Adapt the mRMR Criterion for Unsupervised Feature Selection -- Evaluating the Distance between Two Uncertain Categorical Objects -- Construction Cosine Radial Basic Function Neural Networks Based on Artificial Immune Networks -- Spatial Filter Selection with LASSO for EEG Classification -- Boolean Algebra and Compression Technique for Association Rule Mining -- Cluster Based Symbolic Representation and Feature Selection for Text Classification -- SimRate: Improve Collaborative Recommendation Based on Rating Graph for Sparsity -- Logistic Regression for Transductive Transfer Learning from Multiple Sources -- Double Table Switch: An Efficient Partitioning Algorithm for Bottom-Up Computation of Data Cubes -- IV Data Mining Applications and Systems -- Tag Recommendation Based on Bayesian Principle -- Comparison of Different Methods to Fuse Theos Images -- Using Genetic K-Means Algorithm for PCA Regression Data in Customer Churn Prediction -- Time-Constrained Test Selection for Regression Testing -- Chinese New Word Detection from Query Logs -- Exploiting Concept Clumping for Efficient Incremental E-Mail Categorization -- Topic-Based User Segmentation for Online Advertising with Latent Dirichlet Allocation -- Applying Multi-objective Evolutionary Algorithms to QoS-Aware Web Service Composition -- Real-Time Hand Detection and Tracking Using LBP Features -- Modeling
DNS Activities Based on Probabilistic Latent Semantic Analysis -- A New Statistical Approach to
DNS Traffic Anomaly Detection -- Managing Power Conservation in Wireless Networks -- Using PCA to Predict Customer Churn in Telecommunication Dataset -- Hierarchical Classification with Dynamic-Threshold SVM Ensemble for Gene Function Prediction -- Personalized Tag Recommendation Based on User Preference and Content -- Predicting Defect Priority Based on Neural Networks -- Personalized Context-Aware QoS Prediction for Web Services Based on Collaborative Filtering -- Hybrid Semantic Analysis System – ATIS Data Evaluation -- Click Prediction for Product Search on C2C Web Sites -- Finding Potential Research Collaborators in Four Degrees of Separation -- Predicting Product Duration for Adaptive Advertisement -- An Algorithm for Available Bandwidth Estimation of IPv6 Network -- A Structure-Based XML Storage Method in YAFFS File System -- A Multi-dimensional Trustworthy Behavior Monitoring Method Based on Discriminant Locality Preserving Projections -- NN-SA Based Dynamic Failure Detector for Services Composition in Distributed Environment -- Two-Fold Spatiotemporal Regression Modeling in Wireless Sensor Networks -- Generating Tags for Service Reviews -- Developing Treatment Plan Support in Outpatient Health Care Delivery with Decision Trees Technique -- Factor Analysis of E-business in Skill-Based Strategic Collaboration -- Increasing the Meaningful Use of Electronic Medical Records: A Localized Health Level 7 Clinical Document Architecture System -- Corpus-Based Analysis of the Co-occurrence of Chinese Antonym Pairs -- Application of Decision-Tree Based on Prediction Model for
Project Management -- Management Policies Analysis for Multi-core Shared Caches -- Multi-core Architecture Cache Performance Analysis and Optimization Based on Distributed Method -- The Research on the User Experience of E-Commercial Website Based on User Subdivision -- An Ontology-Based Framework Model for Trustworthy Software Evolution -- Multi-level Log-Based Relevance Feedback Scheme for Image Retrieval -- A Distributed Node Clustering Mechanism in P2P Networks -- Exploratory Factor Analysis Approach for Understanding Consumer Behavior toward Using Chongqing City Card…”
Jyväskylän yliopisto - Jykdok
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