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20th pacific-asia conference on knowledge Discovery and data mining, PAKDD 2016

20th Pacific-Asia Conference on Knowledge Discovery and Data...

引用

20th pacific-asia conference on knowledge Discovery and data mining, PAKDD 2016 and Workshop on Biologically Inspired data mining Techniques, BDM 2016, Workshop on Machine Learning for Sensory data Analysis, MLSDA 2016, Workshop on Predictive Analytics for Critical Care, PACC 2016 and Workshop on data mining in Business and Finance, WDMBF 2016

ISBN: (纸本)9783319429953

the proceedings contain 23 papers. the special focus in this conference is on Biologically Inspired data mining Techniques. the topics include: Towards a new evolutionary subsampling technique for heuristic optimisation of load disaggregators;neural choice by elimination via highway networks;attribute selection and classification of prostate cancer gene expression data using artificial neural networks;an improved self-structuring neural network;multiple seeds based evolutionary algorithm for mining boolean association rules;predicting phone usage behaviors with sensory data using a hierarchical generative model;rigidly self-expressive sparse subspace clustering;joint recognition and segmentation of actions via probabilistic integration of spatio-temporal fisher vectors;learning multi-faceted activities from heterogeneous data with the product space hierarchical dirichlet processes;phishing detection on twitter streams;image segmentation with superpixel based covariance descriptor;normalized cross-match;event prediction in healthcare analytics;a music recommendation system based on acoustic features and user personalities;a social spam detection framework via semi-supervised learning;a hierarchical beta process approach for financial time series trend prediction;efficient iris image segmentation for ATM based approach through fuzzy entropy and graph cut;matching product offers of E-shops;keystroke biometric recognition on Chinese long text input and recommendation algorithm design in a land exchange platform.

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Advances in Mass data Analysis of Images and Signals with Applications in Medicine, r/g/b Biotechnology, Food Industries, Dietetics, Biometry and Security, Agriculture, Drug Discover, and System Biology - 13th International conference, MDA 2018, Proceedings

Advances in Mass Data Analysis of Images and Signals with Ap...

引用

13th International conference on Mass data Analysis of Signals and Images with Applications in Medicine, r/g/b Biotechnology, Food Industries and Dietetics, Biometry and Security, and Agriculture, MDA 2018

ISBN: (纸本)9783942952590

the proceedings contain 4 papers. the topics discussed include: principal component analysis based multimodal medical image fusion of MRI and CT in wavelet domain;mining knowledge for differential diagnosis of pulmonary nodules;determination of Alzheimer disease by the calculation of the brain/liquor quotient;and MRI brain imagery processing software in data analysis.

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7th pacific-asia conference on Advances in knowledge Discovery and data mining, PAKDD 2003

7th Pacific-Asia Conference on Advances in Knowledge Discove...

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7th pacific-asia conference on knowledge Discovery and data mining, PAKDD 2003

ISBN: (纸本)9783540047605

the proceedings contain 60 papers. the special focus in this conference is on Stream mining, Graph mining, Clustering, Text mining and Bio mining. the topics include: Trends and challenges in the industrial applications of KDD;finding event-oriented patterns in long temporal sequences;mining frequent episodes for relating financial events and stock trends;an efficient algorithm of frequent connected subgraph extraction;classifier construction by graph-based induction for graph-structured data;comparison of the performance of center-based clustering algorithms;automatic extraction of clusters from hierarchical clustering representations;large scale unstructured document classification using unlabeled data and syntactic information;extracting shared topics of multiple documents;a semi-supervised algorithm for pattern discovery in information extraction from textual data;mining patterns of dyspepsia symptoms across time points using constraint association rules;predicting protein structural class from closed protein sequences;learning rules to extract protein interactions from biomedical text;predicting protein interactions in human by homologous interactions in yeast;a graph-based optimization algorithm for website topology using interesting association rules;a Markovian approach for web user profiling and clustering;extracting user interests from bookmarks on the web;real time video data mining for surveillance video streams;exploiting hierarchical domain values for Bayesian learning;an efficient algorithm for clustering large high-dimensional datasets and an efficient cell-based clustering method for handling large, high-dimensional data.

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International Workshops on data mining and Decision Analytics for Public Health, Biologically Inspired data mining Techniques, Mobile data Management, mining, and Computing on Social Networks, Big data Science and Engineering on E-Commerce, Cloud Service Discovery, MSMV-MBI, Scalable data Analytics, data mining and Decision Analytics for Public Health and Wellness, Algorithms for Large-Scale Information Processing in knowledge Discovery, data mining in Social Networks, data mining in Biomedical informatics and Healthcare, Pattern mining and Application of Big data in conjunction with 18th pacific-asia conference on knowledge Discovery and data mining, PAKDD 2014

引用

International Workshops on data mining and Decision Analytics for Public Health, Biologically Inspired data mining Techniques, Mobile data Management, mining, and Computing on Social Networks, Big data Science and Engineering on E-Commerce, Cloud Service Discovery, MSMV-MBI, Scalable Dats Analytics, data mining and Decision Analytics for Public Health and Wellness, Algorithms for Large-Scale Information Processing in knowledge Discovery, data mining in Social Networks, data mining in Biomedical informatics and Healthcare, Pattern mining and Application of Big data in conjunction with 18th pacific-asia conference on knowledge Discovery and data mining, PAKDD 2014

ISBN: (纸本)9783319131856

the proceedings contain 73 papers. the special focus in this conference is on data Analytics for Targeted Healthcare, Biologically Inspired Techniques for data mining, Big data Science and Engineering on E-Commerce, Cloud Service Discovery, data mining in Social Networks and Pattern mining and Application of Big data. the topics include: Conversation intention perception based on knowledge base;joint tree of combinatorial maps;aspect-based sentiment analysis of Amazon reviews for fitness tracking devices;detecting the data group most prone to a specific disguise value;information diffusion pattern mining over online social media;query prediction by currently-browsed web pages and its applications;an emergency system in mobile devices;complementary product selection in E-commerce;mining top-K relevant stay regions from historical trajectories;personalized smart phone wearing behavior analysis;using knowledge graph to handle label imperfection;models for distributed, large scale data cleaning;a scalable data analytics algorithm for mining frequent patterns from uncertain data;local feature selection by formal concept analysis for multi-class classification;ensemble clustering of high dimensional data with fast map projection;a general framework for parallel unary operations on ZDDs;multi-group-based user perceptions for friend recommendation in social networks;toward automatic censorship detection in microblogs;social network community detection using strongly connected components;an author topic analysis of tobacco regulation investigators;toward mining user traversal patterns in the indoor environment;human action recognition in video under clutter and moving background;analyzing personality traits based on user behavoirs of using microblog and a model-based multivariate time series clustering algorithm.

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25th pacific-asia conference on knowledge Discovery and data mining, PAKDD 2021

25th Pacific-Asia Conference on Knowledge Discovery and Data...

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25th pacific-asia conference on knowledge Discovery and data mining, PAKDD 2021

ISBN: (纸本)9783030757618

the proceedings contain 157 papers. the special focus in this conference is on knowledge Discovery and data mining. the topics include: Self-supervised Graph Representation Learning with Variational Inference;manifold Approximation and Projection by Maximizing Graph Information;learning Attention-Based Translational knowledge Graph Embedding via Nonlinear Dynamic Mapping;multi-Grained Dependency Graph Neural Network for Chinese Open Information Extraction;human-Understandable Decision Making for Visual Recognition;LightCAKE: A Lightweight Framework for Context-Aware knowledge Graph Embedding;transferring Domain knowledge with an Adviser in Continuous Tasks;inferring Hierarchical Mixture Structures: A Bayesian Nonparametric Approach;quality Control for Hierarchical Classification with Incomplete Annotations;learning Discriminative Features Using Multi-label Dual Space;universal Representation for Code;autoCluster: Meta-learning Based Ensemble Method for Automated Unsupervised Clustering;banditRank: Learning to Rank Using Contextual Bandits;a Compressed and Accelerated SegNet for Plant Leaf Disease Segmentation: A Differential Evolution Based Approach;meta-context Transformers for Domain-Specific Response Generation;a Multi-task Kernel Learning Algorithm for Survival Analysis;Meta-data Augmentation Based Search Strategy through Generative Adversarial Network for AutoML Model Selection;tree-Capsule: Tree-Structured Capsule Network for Improving Relation Extraction;rule Injection-Based Generative Adversarial Imitation Learning for knowledge Graph Reasoning;hierarchical Self Attention Based Autoencoder for Open-Set Human Activity Recognition;reinforced Natural Language Inference for Distantly Supervised Relation Classification;self-supervised Adaptive Aggregator Learning on Graph;SaGCN: Structure-Aware Graph Convolution Network for Document-Level Relation Extraction;addressing the Class Imbalance Problem in Medical Image Segmentation via Accelerated Tversky Loss Function

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25th pacific-asia conference on knowledge Discovery and data mining, PAKDD 2021

25th Pacific-Asia Conference on Knowledge Discovery and Data...

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25th pacific-asia conference on knowledge Discovery and data mining, PAKDD 2021

ISBN: (纸本)9783030757670

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25th pacific-asia conference on knowledge Discovery and data mining, PAKDD 2021

25th Pacific-Asia Conference on Knowledge Discovery and Data...

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25th pacific-asia conference on knowledge Discovery and data mining, PAKDD 2021

ISBN: (纸本)9783030757649

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19th pacific-asia conference on Advances in knowledge Discovery and data mining, PAKDD 2015

19th Pacific-Asia Conference on Advances in Knowledge Discov...

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19th pacific-asia conference on knowledge Discovery and data mining, PAKDD 2015

ISBN: (纸本)9783319180311

the proceedings contain 59 papers. the special focus in this conference is on Opinion mining and Sentiment Analysis. the topics include: Emotion cause detection for Chinese micro-blogs based on ECOCC model;parallel recursive deep model for sentiment analysis;sentiment analysis in transcribed utterances;rating entities and aspects using a hierarchical model;sentiment analysis on microblogging by integrating text and image features;a framework for retrieving and summarizing actionable tweets during a disaster for reaction;evolving Chinese restaurant processes for modeling evolutionary traces in temporal data;small-variance asymptotics for Bayesian nonparametric models with constraints;a stream clustering algorithm for dynamically detecting and managing temporal contexts;clustering over data streams based on growing neural gas;computing and mining clustcube cubes efficiently;contextual anomaly detection using log-linear tensor factorization;a semi-supervised framework for social spammer detection;fast one-class support vector machine for novelty detection;detecting synchronized fraud activities;an embedding scheme for detecting anomalous block structured graphs;a core-attach based method for identifying protein complexes in dynamic PPI networks;quality control for crowd sourced poi collection;towards efficient sequential pattern mining in temporal uncertain databases;causal inference with time and space proximity under uncertainty;achieving accuracy guarantee for answering batch queries with differential privacy;automated classification of passing in football;stabilizing sparse cox model using statistic and semantic structures in electronic medical records and predicting next locations with object clustering and trajectory clustering.

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5th asia-pacific Web and Web-Age Information Management International Joint conference on Web and Big data, APWeb-WAIM 2021, 4th International Workshop on knowledge Graph Management and Applications, KGMA 2021, 3rd International Workshop on Semi-structured Big data Management and Application, SemiBDMA 2021, and 2nd International Workshop on Deep Learning in Large-scale Unstructured data Analytics, DeepLUDA 2021

5th Asia-Pacific Web and Web-Age Information Management Inte...

引用

5th asia-pacific Web and Web-Age Information Management International Joint conference on Web and Big data, APWeb-WAIM 2021, 4th International Workshop on knowledge Graph Management and Applications, KGMA 2021, 3rd International Workshop on Semi-structured Big data Management and Application, SemiBDMA 2021, and 2nd International Workshop on Deep Learning in Large-scale Unstructured data Analytics, DeepLUDA 2021

ISBN: (纸本)9789811681424

the proceedings contain 11 papers. the special focus in this conference is on Web and Big data. the topics include: Survival Effect of Internet Macroscopic Topology Evolution;the Method for Image Noise Detection Based on the Amount of knowledge Associated with Intuitionistic Fuzzy Sets;link Prediction of Heterogeneous Information Networks Based on Frequent Subgraph Evolution;memory Attentive Cognitive Diagnosis for Student Performance Prediction;A Study on the Privacy threat Analysis of PHI-Code;preface;should I Stay or Should I Go: Predicting Changes in Cluster Membership;logistics Policy Evaluation Model Based on Text mining;MRRVOS: Modular Refinement Referring Video Object Segmentation.

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27th pacific-asia conference on knowledge Discovery and data mining, PAKDD 2023

27th Pacific-Asia Conference on Knowledge Discovery and Data...

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27th pacific-asia conference on knowledge Discovery and data mining, PAKDD 2023

ISBN: (纸本)9783031333736

the proceedings contain 143 papers. the special focus in this conference is on knowledge Discovery and data mining. the topics include: Anti-Money Laundering in Cryptocurrency via Multi-Relational Graph Neural Network;ceFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular data Using Normalizing Flows;feedback Effect in User Interaction with Intelligent Assistants: Delayed Engagement, Adaption and Drop-out;toward Interpretable Machine Learning: Constructing Polynomial Models Based on Feature Interaction Trees;bioSequence2Vec: Efficient Embedding Generation for Biological Sequences;relations Between Adjacency and Modularity Graph Partitioning;bayesian Optimization over Mixed Type Inputs with Encoding Methods;using Flexible Memories to Reduce Catastrophic Forgetting;fair Healthcare Rationing to Maximize Dynamic Utilities;A Multi-player MAB Approach for Distributed Selection Problems;MixER: MLP-Mixer knowledge Graph Embedding for Capturing Rich Entity-Relation Interactions in Link Prediction;a thompson Sampling Approach to Unifying Causal Inference and Bandit Learning;maverick Matters: Client Contribution and Selection in Federated Learning;pFedV: Mitigating Feature Distribution Skewness via Personalized Federated Learning with Variational Distribution Constraints;inverse Problem of Censored Markov Chain: Estimating Markov Chain Parameters from Censored Transition data;parameter-Free Bayesian Decision Trees for Uplift Modeling;interpretability Meets Generalizability: A Hybrid Machine Learning System to Identify Nonlinear Granger Causality in Global Stock Indices;a Dynamic and Task-Independent Reward Shaping Approach for Discrete Partially Observable Markov Decision Processes;multi-Agent Meta-Reinforcement Learning with Coordination and Reward Shaping for Traffic Signal Control;regularization of the Policy Updates for Stabilizing Mean Field Games;constrained Portfolio Management Using Action Space Decomposition for Reinforcement Learning;GTEA: In

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