Pattern based opinion mining for stock market trend prediction

The total of 98 papers presented in these proceedings was carefully reviewed and selected Advances in Knowledge Discovery and Data Mining: Jian Pei , Vincent S. Tseng , Longbing Cao , Hiroshi Motoda , Guandong Xu. Springer , 5 avr.

The total of 98 papers presented in these proceedings was carefully reviewed and selected from submissions. They cover the general fields of data mining and KDD extensively, including pattern mining, classification, graph mining, applications, machine learning, feature selection and dimensionality reduction, multiple information sources mining, social networks, clustering, text mining, text classification, imbalanced data, privacy-preserving data mining, recommendation, multimedia data mining, stream data mining, data preprocessing and representation.

Product and User Dependent Social Network Models for Recommender Systems.

Learning Representative Nodes in Social Networks. Tracing Influential Nodes in a Social Network with Competing Information. A Structural Visualizer for Multidimensional Social Networks. Influential Nodes in a OneWave Diffusion Model for LocationBased Social Networks.

Modeling Social Information Learning among Taxi Drivers. Mining User Interests from Information Sharing Behaviors in Social Media.

Proximity Weighted Synthetic Oversampling Technique for Imbalanced Data Set Learning. Differential Privacy Preserving Spectral Graph Analysis.

“This EXACT SAME Crisis Has Happened Twice in the History of Energy…” (Dr. Kent Moors) | Stock Gumshoe

Sorted Nearest Neighborhood Clustering for Efficient Private Blocking. On Linear Refinement of Differential PrivacyPreserving Query Answering. A Coupled Clustering Approach for Items Recommendation. Location Recommendation Based on Periodicity of Human Activities and Location Categories.

TopN Recommendations by Learning User Preference Dynamics. Semantic Title Evaluation and Recommendation Based on Topic Models. Anonymization for Multiple Released Social Network Graphs. A New Fast and Accurate Algorithm for Hierarchical Clustering on Euclidean Distances.

Clustering Patient Medical Records via Sparse Subspace Representation. A Unified Metric for Categorical and Numerical Attributes in Data Clustering.

An Extension of the Infinite Relational Model Incorporating Interaction between Objects.

Walayat Street - Nadeem Walayat's Financial Markets Trading and Analysis Site

DensityBased Clustering Based on Hierarchical Density Estimates. Stock Trend Prediction by Classifying Aggregative Web TopicOpinion. The Role of Hubs in CrossLingual Supervised Document Retrieval. Text Document Topical Recursive Clustering and Automatic Labeling of a Hierarchy of Document Clusters.

QueryDocument Relevance Topic Models. A TwoStage Approach for Generating Topic Models. Effective TopDown Active Learning for Hierarchical Text Classification. Forgetting Word Segmentation in Chinese Text Classification with L1Regularized Logistic Regression.

Clusterbased Representation Enrichment for Short Text Classification. Cross Language Prediction of Vandalism on Wikipedia Using Article Views and Revisions. An Optimized CostSensitive SVM for Imbalanced Data Learning. A Positivebiased Nearest Neighbour Algorithm for Imbalanced Classification. Class Based Weighted KNearest Neighbor over Imbalance Dataset. Video Quality Prediction over Wireless 4G. A Selfimmunizing Manifold Ranking for Image Retrieval. LowRank Matrix Recovery with Discriminant Regularization.

Using Multiple Features for Better Image Retrieval. One Pass Concept Change Detection for Data Streams. Incremental Mining of Significant URLs in RealTime and LargeScale Social Streams. A ConceptDrifting Detection Algorithm for Categorical Evolving Data.

Framework for Storing and Processing Relational Entities in Stream Mining. Discovering Semantics from Multiple Correlated Time Series Stream. Matrix Factorization With Aggregated Observations.

An Approach to Identifying False Traces in Process Event Logs. SplitMerge Augmented Gibbs Sampling for Hierarchical Dirichlet Processes. Adaptive Temporal Entity Resolution on Dynamic Databases.

Fuzzy MultiSphere Support Vector Data Description. Tseng , Longbing Cao , Hiroshi Motoda , Guandong Xu Springer , 5 avr. Probabilistic Collaborative Filtering for Reciprocal Recommendation.