Advanced Data Mining and Applications

Table of Contents

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   Book Overview
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   Chapter 1 Efficiently Mining Constrained Subsequence Patterns
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   Chapter 2 Slice_OP: Selecting Initial Cluster Centers Using Observation Points
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   Chapter 3 HierArchical-Grid CluStering Based on DaTA Field in Time-Series and the Influence of the First-Order Partial Derivative Potential Value for the ARIMA-Model
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   Chapter 4 Anomaly Detection with Changing Cluster Centers
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   Chapter 5 A Novel Feature Selection-Based Sequential Ensemble Learning Method for Class Noise Detection in High-Dimensional Data
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   Chapter 6 Possibilistic Information Retrieval Model Based on a Multi-terminology
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   Chapter 7 On Improving the Prediction Accuracy of a Decision Tree Using Genetic Algorithm
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   Chapter 8 A Genetic Algorithm Based Technique for Outlier Detection with Fast Convergence
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    Chapter 9 Multivariate Synchronization Index Based on Independent Component Analysis for SSVEP-Based BCI
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    Chapter 10 Forecasting Traffic Flow in Big Cities Using Modified Tucker Decomposition
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    Chapter 11 A Sparse and Low-Rank Matrix Recovery Model for Saliency Detection
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    Chapter 12 Instruction SDC Vulnerability Prediction Using Long Short-Term Memory Neural Network
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    Chapter 13 Forecasting Hospital Daily Occupancy Using Patient Journey Data - A Heuristic Approach
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    Chapter 14 An Airport Scene Delay Prediction Method Based on LSTM
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    Chapter 15 DSDCS: Detection of Safe Driving via Crowd Sensing
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    Chapter 16 Power Equipment Fault Diagnosis Model Based on Deep Transfer Learning with Balanced Distribution Adaptation
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    Chapter 17 Event Extraction with Deep Contextualized Word Representation and Multi-attention Layer
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    Chapter 18 A Novel Unsupervised Time Series Discord Detection Algorithm in Aircraft Engine Gearbox
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    Chapter 19 A More Secure Spatial Decompositions Algorithm via Indefeasible Laplace Noise in Differential Privacy
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    Chapter 20 Towards Geological Knowledge Discovery Using Vector-Based Semantic Similarity
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    Chapter 21 Keep Calm and Know Where to Focus: Measuring and Predicting the Impact of Android Malware
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    Chapter 22 Fault Diagnosis for an Automatic Shell Magazine Using FDA and ELM
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    Chapter 23 Anomalous Trajectory Detection Using Recurrent Neural Network
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    Chapter 24 Detecting Spammers with Changing Strategies via a Transfer Distance Learning Method
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    Chapter 25 Adversarial Learning for Topic Models
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    Chapter 26 Learning Concise Relax NG Schemas Supporting Interleaving from XML Documents
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    Chapter 27 Deep Group Residual Convolutional CTC Networks for Speech Recognition
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    Chapter 28 Short Text Understanding Based on Conceptual and Semantic Enrichment
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    Chapter 29 LDA-PSTR: A Topic Modeling Method for Short Text
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    Chapter 30 Vertical and Sequential Sentiment Analysis of Micro-blog Topic
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    Chapter 31 Abstractive Document Summarization via Bidirectional Decoder
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    Chapter 32 CBPF: Leveraging Context and Content Information for Better Recommendations
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    Chapter 33 Discovering High Utility Change Points in Customer Transaction Data
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    Chapter 34 Estimating Interactions of Functional Brain Connectivity by Hidden Markov Models
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    Chapter 35 From Complex Network to Skeleton: $$ \varvec{m}_{\varvec{j}} $$ m j -Modified Topology Potential for Node Importance Identification
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    Chapter 36 Nodes Deployment Optimization Algorithm Based on Energy Consumption of Underwater Wireless Sensor Networks
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    Chapter 37 A New Graph-Partitioning Algorithm for Large-Scale Knowledge Graph
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    Chapter 38 SQL Injection Behavior Mining Based Deep Learning
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    Chapter 39 Evaluation Methods of Hierarchical Models
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    Chapter 40 Local Community Detection Using Greedy Algorithm with Probability
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    Chapter 41 A Player Behavior Model for Predicting Win-Loss Outcome in MOBA Games
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    Chapter 42 An Improved Optimization of Link-Based Label Propagation Algorithm
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    Chapter 43 Research on Commodity Recommendation Algorithm Based on RFN
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    Chapter 44 Research of Personalized Recommendation System Based on Multi-view Deep Neural Networks