The proceedings contain 146 papers. The topics discussed include: performance analysis of heat pipe fresh air ventilation;performance evaluation of heat pipe heat exchanger;mining customer opinions on the Internet - a...
ISBN:
(纸本)9780769539232
The proceedings contain 146 papers. The topics discussed include: performance analysis of heat pipe fresh air ventilation;performance evaluation of heat pipe heat exchanger;mining customer opinions on the Internet - a case study in the automotive industry;integrated management of intelligent return in logistics center of book industry;efficiently using matrix in mining maximum frequent itemset;RBACS: rootkit behavioral analysis and classification system;transit vehicle dispatching based on genetic algorithm-RBF neural network;design of fast multiple string searching based on improved prefix tree;reliability modeling for momentum wheel based on datamining of failure-physics;monthly anchovy catches forecasting using wavelet polynomial autoregression;regional logistics demand analysis based on gray system theory: a case study of Hangzhou City;and clustering data on manifold with local and global consistency.
The proceedings contain 65 papers. The topics discussed include: an interactive visualization environment for data exploration;density-connected sets and their application for trend detection in spatial databases;visu...
ISBN:
(纸本)1577350278
The proceedings contain 65 papers. The topics discussed include: an interactive visualization environment for data exploration;density-connected sets and their application for trend detection in spatial databases;visualization techniques to explore datamining results for document collections;a probabilistic approach to fast pattern matching in time series databases;using general impressions to analyze discovered classification rules;development of multi-criteria metrics for evaluation of datamining algorithms;analysis and visualization of classifier performance: comparison under imprecise class and cost distributions;discriminative vs informative learning;anytime exploratory data analysis for massive data sets;detecting atmospheric regimes using cross-validated clustering;and a visual interactive framework for attribute discretization.
The proceedings contain 13 papers. The topics discussed include: bayes net graphs to understand co-authorship network;EventRank: a framework for ranking time-varying networks;graph building as a mining activity: findi...
ISBN:
(纸本)1595932151
The proceedings contain 13 papers. The topics discussed include: bayes net graphs to understand co-authorship network;EventRank: a framework for ranking time-varying networks;graph building as a mining activity: finding links in the small;tuning representations of dynamic network data;group and topic discovery from relations and text;capital and benefit in social networks;email alias detection using social network analysis;mining hidden community in heterogeneous social networks;GiveALink: mining a semantic network of bookmarks for web search and recommendation;discovering important nodes through graph entropy - the case of Enron email database;a latent mixed membership model for relational data;and discovering missing links in Wikipedia.
The proceedings contain 16 papers. The topics discussed include: a data modeling approach to climate change attribution;space missions and sensor networking: challenging scenarios;how optimized environmental sensing h...
ISBN:
(纸本)9781605586687
The proceedings contain 16 papers. The topics discussed include: a data modeling approach to climate change attribution;space missions and sensor networking: challenging scenarios;how optimized environmental sensing helps address information overload on the web;handling outliers and concept drift in online mass flow prediction in CFB boilers;an exploration of climate data using complex networks;a comparison of SNOTEL and AMSR-E snow water equivalent datasets in western U.S. watersheds;EDISKCO: energy efficient distributed in-sensor-network k-center clustering with outliers;phenological event detection from multitemporal image data;mining in a mobile environment;on the identification of intra-seasonal changes in the Indian summer monsoon;reduction of ground-based sensor sites for spatio-temporal analysis of aerosols;OcVFDT: one-class very fast decision tree for one-class classification of data streams;and a frequent pattern based framework for event detection in sensor network stream data.
The proceedings contain 12 papers. The special focus in this conference is on miningdata for Financial Applications. The topics include: Privacy risk for individual basket patterns;exploring students eating habits th...
ISBN:
(纸本)9783030134624
The proceedings contain 12 papers. The special focus in this conference is on miningdata for Financial Applications. The topics include: Privacy risk for individual basket patterns;exploring students eating habits through individual profiling and clustering analysis;calibrating the mean-reversion parameter in the hull-white model using neural networks;deep factor model: Explaining deep learning decisions for forecasting stock returns with layer-wise relevance propagation;a comparison of neural network methods for accurate sentiment analysis of stock market tweets;a progressive resampling algorithm for finding very sparse investment portfolios;ICIE 1.0: A novel tool for interactive contextual interaction explanations;testing for self-excitation in financial events: A bayesian approach;a web crawling environment to support financial strategies and trend correlation: – extended abstract –;a differential privacy workflow for inference of parameters in the rasch model.
The proceedings contain 34 papers. The special focus in this conference is on mining Temporal Patterns, datamining Techniques, Collaborative Filtering and Web mining. The topics include: knowledge management in heter...
ISBN:
(纸本)3540425535
The proceedings contain 34 papers. The special focus in this conference is on mining Temporal Patterns, datamining Techniques, Collaborative Filtering and Web mining. The topics include: knowledge management in heterogeneous data warehouse environments;mining generalized association rules with multiple minimum supports;a theoretical framework for association mining based on the Boolean retrieval model;mining inter-transactional association rules;on the equivalence of top-down and bottom-up datamining in relational databases;discovering knowledge from meteorological databases;enhancing the apriori algorithm for frequent set counting;development of automated datamining system for quality control in manufacturing;ensemble feature selection based on the contextual merit;a new approach for item choice recommendations;an efficient collaborative filtering method;discovering web document associations for web site summarization;data visualization and analysis with self-organizing maps in learning metrics;towards a novel OLAP interface for distributed data warehouses;information warehouse for medical research;risk-management for data warehouse systems;parallel view maintenance under concurrent data updates of distributed sources;an experimental performance evaluation of incremental materialized view maintenance in object databases;managing time consistency for active data warehouse environments;optimization algorithms for simultaneous multidimensional queries in OLAP environments;improving the performance of OLAP queries using families of statistics trees;changes of dimension data in temporal data warehouses;adaptable similarity search using vector quantization and applying an OO database distribution strategy to data warehouses.
The proceedings contain 25 papers. The special focus in this conference is on database and Expert Systems Applications. The topics include: Classifying big DNA methylation data: A gene-oriented approach;classifying le...
ISBN:
(纸本)9783319991320
The proceedings contain 25 papers. The special focus in this conference is on database and Expert Systems Applications. The topics include: Classifying big DNA methylation data: A gene-oriented approach;classifying leukemia and gout patients with neural networks;incremental wrapper based random forest gene subset selection for tumor discernment;protein identification as a suitable application for fast data architecture;mining geometrical motifs co-occurrences in the CMS dataset;suitable overlapping set visualization techniques and their application to visualize biclustering results on gene expression data;can We quantify domainhood? Exploring measures to assess domain-specificity in web corpora;a case study of closed-domain response suggestion with limited training data;what to Read Next? Challenges and preliminary results in selecting representative documents;ThespisDIIP: Distributed integrity invariant preservation;text-based annotation of scientific images using wikimedia categories;detecting link and landing page misalignment in marketing emails;toward validation of textual information retrieval techniques for software weaknesses;investigating the effect of attributes on user trust in social media;analysing author self-citations in computer science publications;a semantic-based personalized information retrieval approach using a geo-social user profile;privacy issues for cloud systems;script based migration toolkit for cloud computing architecture in building scalable investment platforms;space-adaptive and workload-aware replication and partitioning for distributed rdf triple stores;performance comparison of three spark-based implementations of parallel entity resolution;Big data analytics: Exploring graphs with optimized SQL queries;new modeling ideas for the exact solution of the closest string problem;ensemble clustering based dimensional reduction.
The proceedings contain 23 papers. The special focus in this conference is on database and Expert Systems Applications. The topics include: Semantic Influence Score: Tracing Beautiful Minds Through knowledge Diffusion...
ISBN:
(纸本)9783030871000
The proceedings contain 23 papers. The special focus in this conference is on database and Expert Systems Applications. The topics include: Semantic Influence Score: Tracing Beautiful Minds Through knowledge Diffusion and Derivative Works;robust and Efficient Bio-Inspired data-Sampling Prototype for Time-Series Analysis;membership-Mappings for data Representation Learning: Measure Theoretic Conceptualization;membership-Mappings for data Representation Learning: A Bregman Divergence Based Conditionally Deep Autoencoder;data Catalogs: A Systematic Literature Review and Guidelines to Implementation;task-Specific Automation in Deep Learning Processes;approximate Fault Tolerance for Edge Stream Processing;deep Learning Rule for Efficient Changepoint Detection in the Presence of Non-Linear Trends;time Series Pattern discovery by Deep Learning and Graph mining;a Conceptual Model for Mitigation of Root Causes of Uncertainty in Cyber-Physical Systems;integrating Gene Ontology Based Grouping and Ranking into the Machine Learning Algorithm for Gene Expression data Analysis;SVM-RCE-R-OPT: Optimization of Scoring Function for SVM-RCE-R;short-Term Renewable Energy Forecasting in Greece Using Prophet Decomposition and Tree-Based Ensembles;a Comparative Study of Deep Learning Approaches for Day-Ahead Load Forecasting of an Electric Car Fleet;Security-Based Safety Hazard Analysis Using FMEA: A DAM Case Study;Privacy Preserving Machine Learning for Malicious URL Detection;remote Attestation of Bare-Metal Microprocessor Software: A Formally Verified Security Monitor;Provenance and Privacy in ProSA: A Guided Interview on Privacy-Aware Provenance;placeholder Constraint Evaluation in Simulation Graphs;Walk Extraction Strategies for Node Embeddings with rdF2Vec in knowledge Graphs;bridging Semantic Web and Machine Learning: First Results of a Systematic Mapping Study.
In crowdsourcing systems, where substantial amounts of data from various contributors are aggregated to discern reliable information, privacy concerns are often managed through differential privacy techniques. However...
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