Advances in Data Mining. Applications and Theoretical Aspects

Chapter 1 Incorporating Positional Information into Deep Belief Networks for Sentiment Classification

Chapter 2 Tracking Multiple Social Media for Stock Market Event Prediction

Chapter 3 Ensemble Sales Forecasting Study in Semiconductor Industry

Chapter 4 Towards an Efficient Method of Modeling “Next Best Action” for Digital Buyer’s Journey in B2B

Chapter 5 Association Rule-based Classifier Using Artificial Missing Values

Chapter 6 Mining Location-Based Service Data for Feature Construction in Retail Store Recommendation

Chapter 7 Constraint-Based Clustering Algorithm for Multi-density Data and Arbitrary Shapes

Chapter 8 Towards a Large Scale Practical Churn Model for Prepaid Mobile Markets

Chapter 9 Smart Stores: A Scalable Foot Traffic Collection and Prediction System

Chapter 10 Multivariate Time Series Representation and Similarity Search Using PCA

Chapter 11 Message Passing on Factor Graph: A Novel Approach for Orphan Drug Physician Targeting

Chapter 12 Fast GPU-Based Influence Maximization Within Finite Deadlines via Node-Level Parallelism

Chapter 13 Visual Scenes Mining for Agent Awareness Module

Chapter 14 Predicting Hospital Re-Admissions from Nursing Care Data of Hospitalized Patients

Chapter 15 Activity Prediction in Process Management Using the WoMan Framework

Chapter 16 Hierarchical Text Classification of Autopsy Reports to Determine MoD and CoD Through Term-Based and Concepts-Based Features

Chapter 17 Collaborative Filtering Fusing Label Features Based on SDAE

Chapter 18 Interestingness Classification of Association Rules for Master Data

Chapter 20 An Integrated Approach Using Data Mining and System Dynamics to Policy Design: Effects of Electric Vehicle Adoption on CO2 Emissions in Singapore

Chapter 21 Using the Results of Capstone Analysis to Predict a Weather Outcome

Chapter 22 Classification of Network Traffic Using Fuzzy Clustering for Network Security

Chapter 23 Machine Learning and Pattern Recognition Techniques for Information Extraction to Improve Production Control and Design Decisions

Chapter 24 Real-Time Prediction of Styrene Production Volume Based on Machine Learning Algorithms

Chapter 25 A Graph-Based Ranking Model for Automatic Keyphrases Extraction from Arabic Documents

Chapter 26 Mining Frequent Subgraph Pattern Over a Collection of Attributed-Graphs and Construction of a Relation Hierarchy for Result Reporting