Machine Learning.- Subspace-Weighted Consensus Clustering for High-Dimensional Data.- NOV-RSI: A Novel Optimization Algorithm for Mining Rare Significance Itemsets.- MSPP: A Highly Efficient and Scalable Algorithm for Mining Similar Pairs of Points.- Discovering High Utility Itemsets Using Set-Based Particle Swarm Optimization.- SS-AOE: Subspace based classification framework for avoiding over-confident errors.- Inuence Maximization based Active Learning in Noisy Setting.- Text Mining.- DGRL: Text Classification with Deep Graph Residual Learning.- Densely Connected Bidirectional LSTM With Max-pooling of CNN Network for Text Classification.- A Context-aware Computing Method of Sentence Similarity Based on Frame Semantics.- Learning the Concept Embeddings of Ontology.- ATextCNN Model: A New Multi-Classification Method for Police Situation.- Hierarchical and Pairwise Document Embedding for Plagiarism Detection.- Graph Mining.- Evolutionary strategy for graph embedding.- D2NE: Deep Dynamic Network Embedding.- Elaborating the Bayesian Priors in Unsupervised Graph Embedding via Graph Concepts.- Tuser3: A profile matching based algorithm across three heterogeneous social networks.- Encrypted Traffic Classification using Graph Convolutional Networks.- Representing EHRs with Temporal Tree and Sequential Pattern Mining for Similarity Computing.- Research of Medical Aided Diagnosis System Based on Temporal Knowledge Graph.- TOP-R Keyword-Aware Community Search.- Online Community Identification Over Heterogeneous Attributed Directed Graphs.- Predictive Analytics MPB: Multi-Peak Binarization for Pupil Detection.- Rice Leaf Diseases Recognition using Convolutional Neural Networks.- STCNet: Spatial-Temporal Convolution Network for Traffic Speed Prediction.- Discriminative Features Generation for Mortality Prediction in ICU.- Pre-trained StyleGAN based data augmentation for small sample brain CT motion artifacts detection.- Motion Artifacts Detection from Computed Tomography Images.- Loners stand out. Identification of anomalous subsequences based on group performance.- Brain CT Image Augmentation based on PGGAN and FBP for Artifact Detection.- Recursive RNN based Shift Representation Learning for Dynamic User-Item Interaction Prediction.- Computational methods for predicting Autism Spectrum Disorder from gene expression data.- Recommender Systems.- Declarative User-Item Profiling Based Context-Aware Recommendation.- HisRec: Bridging Heterogeneous Information Spaces for Recommendation via Attentive Embedding.- A Neighbor-aware Group Recommendation Algorithm.- Cross Product And Attention Based Deep Neural Collaborative Filtering.- Privacy and Security.- Blockchain-based Privacy Preserving Trust Management Model in VANET.- SecureRec: Privacy-Preserving Recommendation with Distributed Matrix Factorization.- Query Processing.- Optimizing Scoring and Sorting Operations for Faster WAND Processing.- Query-Based Recommendation by HIN Embedding with PRE-LSTM.- Data Mining Applications.- Applications of Big Data in Tourism: A Survey.- High-quality Plane Wave Compounding using Deep Learning for Hand-held Ultrasound Devices.- IPMM: Cancer Subtype Clustering Model Based on Multiomics Data and Pathway and Motif Information.- Personal Health Index based on Residential Health Examination.- Decision support system for acupuncture treatment of ischemic stroke.- Detecting Topic and Sentiment Dynamics Due to COVID-19 Pandemic Using Social Media.- FabricGene: A higher-level feature representation of fabric patterns for nationality classification.- Low-Light Image Enhancement With Color Transfer Based On Local Statistical Feature.- Role-aware Enhanced Matching Network for Multi-Turn Response Selection in Customer Service Chatbots.