On the public citation graph
Mining uncertain data
0 signed · 118 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11535331_23openalex-snapshot
Probabilistic Spatial Queries on Existentially Uncertain Data
inferredcites →https://doi.org/10.1007/11896548_24openalex-snapshot
Models for Incomplete and Probabilistic Information
inferredcites →https://doi.org/10.1007/978-0-387-09690-2openalex-snapshot
Managing and Mining Uncertain Data
inferredcites →https://doi.org/10.1007/978-0-387-09690-2_15openalex-snapshot
Frequent Pattern Mining Algorithms with Uncertain Data
inferredcites →https://doi.org/10.1007/978-0-387-09823-4openalex-snapshot
Data Mining and Knowledge Discovery Handbook
inferredcites →https://doi.org/10.1007/978-0-387-39940-9openalex-snapshot
Encyclopedia of Database Systems
inferredcites →https://doi.org/10.1007/978-0-387-39940-9_115openalex-snapshot
Data Uncertainty Management in Sensor Networks
inferredcites →https://doi.org/10.1007/978-0-387-39940-9_1302openalex-snapshot
Uncertainty Management in Scientific Database Systems
inferredcites →https://doi.org/10.1007/978-0-387-39940-9_169openalex-snapshot
Frequent Items on Streams
inferredcites →https://doi.org/10.1007/978-0-387-39940-9_170openalex-snapshot
Frequent Itemset Mining with Constraints
inferredcites →https://doi.org/10.1007/978-0-387-39940-9_171openalex-snapshot
Frequent Itemsets and Association Rules
inferredcites →https://doi.org/10.1007/978-0-387-39940-9_23openalex-snapshot
Apriori Property and Breadth-First Search Algorithms
inferredcites →https://doi.org/10.1007/978-0-387-39940-9_275openalex-snapshot
Probabilistic Databases
inferredcites →https://doi.org/10.1007/978-0-387-39940-9_5047openalex-snapshot
Convertible Constraints
inferredcites →https://doi.org/10.1007/978-1-4614-8265-9_170openalex-snapshot
Frequent Itemset Mining with Constraints
inferredcites →https://doi.org/10.1007/978-1-4899-7993-3_1302-2openalex-snapshot
Uncertainty Management in Scientific Database Systems
inferredcites →https://doi.org/10.1007/978-1-4899-7993-3_25-2openalex-snapshot
Association Rule Mining on Streams
inferredcites →https://doi.org/10.1007/978-3-540-68125-0_61openalex-snapshot
A Tree-Based Approach for Frequent Pattern Mining from Uncertain Data
inferredcites →https://doi.org/10.1007/978-3-540-68125-0_8openalex-snapshot
A Decremental Approach for Mining Frequent Itemsets from Uncertain Data
inferredcites →https://doi.org/10.1007/978-3-540-71701-0_8openalex-snapshot
Mining Frequent Itemsets from Uncertain Data
inferredcites →https://doi.org/10.1007/978-3-642-13657-3_51openalex-snapshot
Efficient Pattern Mining of Uncertain Data with Sampling
inferredcites →https://doi.org/10.1007/s00778-006-0004-3openalex-snapshot
Efficient query evaluation on probabilistic databases
inferredcites →https://doi.org/10.1007/springerreference_63306openalex-snapshot
Frequent Itemsets and Association Rules
inferredcites →https://doi.org/10.1016/s0898-1221(96)90007-3openalex-snapshot
Advances in knowledge discovery and data mining
inferredcites →https://doi.org/10.1023/b:dami.0000005258.31418.83openalex-snapshot
Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach
inferredcites →https://doi.org/10.1023/b:dami.0000023674.74932.4copenalex-snapshot
Pushing Convertible Constraints in Frequent Itemset Mining
inferredcites →https://doi.org/10.1080/07408170600897460openalex-snapshot
H-Mine: Fast and space-preserving frequent pattern mining in large databases
inferredcites →https://doi.org/10.1109/icde.2001.914856openalex-snapshot
Mining frequent itemsets with convertible constraints
inferredcites →https://doi.org/10.1109/icde.2009.157openalex-snapshot
Mining of Frequent Itemsets from Streams of Uncertain Data
inferredcites →https://doi.org/10.1109/icdm.2001.989550openalex-snapshot
H-mine: hyper-structure mining of frequent patterns in large databases
inferredcites →https://doi.org/10.1109/icdm.2006.62openalex-snapshot
DSTree: A Tree Structure for the Mining of Frequent Sets from Data Streams
inferredcites →https://doi.org/10.1109/icdm.2009.90openalex-snapshot
Naive Bayes Classification of Uncertain Data
inferredcites →https://doi.org/10.1109/icdmw.2007.38openalex-snapshot
Bit Sequences and Biclustering of Text Documents
inferredcites →https://doi.org/10.1109/tkde.2008.190openalex-snapshot
A Survey of Uncertain Data Algorithms and Applications
inferredcites →https://doi.org/10.1109/tkde.2010.118openalex-snapshot
Guest Editors' Introduction: Special Section on Mining Large Uncertain and Probabilistic Databases
inferredcites →https://doi.org/10.1109/tkde.2010.82openalex-snapshot
Clustering Uncertain Data Using Voronoi Diagrams and R-Tree Index
inferredcites →https://doi.org/10.1137/1.9781611972788.44openalex-snapshot
Outlier Detection with Uncertain Data
inferredcites →https://doi.org/10.1145/1081870.1081955openalex-snapshot
Density-based clustering of uncertain data
inferredcites →https://doi.org/10.1145/1376616.1376698openalex-snapshot
Finding frequent items in probabilistic data
inferredcites →https://doi.org/10.1145/1376916.1376944openalex-snapshot
Approximation algorithms for clustering uncertain data
inferredcites →https://doi.org/10.1145/1557019.1557030openalex-snapshot
Frequent pattern mining with uncertain data
inferredcites →https://doi.org/10.1145/1557019.1557039openalex-snapshot
Probabilistic frequent itemset mining in uncertain databases
inferredcites →https://doi.org/10.1145/1610555.1610557openalex-snapshot
Efficient algorithms for mining constrained frequent patterns from uncertain data
inferredcites →https://doi.org/10.1145/170035.170072openalex-snapshot
Mining association rules between sets of items in large databases
inferredcites →https://doi.org/10.1145/1774088.1774301openalex-snapshot
A Bayesian classifier for uncertain data
inferredcites →https://doi.org/10.1145/1774088.1774305openalex-snapshot
Mining uncertain data for frequent itemsets that satisfy aggregate constraints
inferredcites →https://doi.org/10.1145/1809400.1809425openalex-snapshot
Efficient algorithms for the mining of constrained frequent patterns from uncertain data
inferredcites →https://doi.org/10.1145/1835804.1835841openalex-snapshot
Mining uncertain data with probabilistic guarantees
inferredcites →https://doi.org/10.1145/276304.276307openalex-snapshot
Exploratory mining and pruning optimizations of constrained associations rules
inferredcites →https://doi.org/10.1145/335191.335372openalex-snapshot
Mining frequent patterns without candidate generation
inferredcites →https://doi.org/10.1145/38713.38724openalex-snapshot
On the representation and querying of sets of possible worlds
inferredcites →https://doi.org/10.1145/568574.568581openalex-snapshot
Exploiting succinct constraints using FP-trees
inferredcites →https://doi.org/10.1145/958942.958944openalex-snapshot
Efficient dynamic mining of constrained frequent sets
inferredcites →https://doi.org/10.1198/tech.2004.s207openalex-snapshot
Data Mining: Multimedia, Soft Computing, and Bioinformatics
inferredcites →https://doi.org/10.14778/1454159.1454225openalex-snapshot
Finding frequent items in data streams
inferredcites →https://doi.org/10.4135/9781412973380.n22openalex-snapshot
An Introduction to Data Mining
inferredcites →https://doi.org/10.5555/140629.140633openalex-snapshot
Knowledge discovery in databases
inferredcites →https://doi.org/10.5860/choice.49-3305openalex-snapshot
Data mining: concepts and techniques
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/widm.1137openalex-snapshot
A survey of erasable itemset mining algorithms
inferred← citeshttps://doi.org/10.1007/978-3-031-40971-4_13openalex-snapshot
Dynamic Pricing for Parking Facility
inferred← citeshttps://doi.org/10.1007/978-3-319-07821-2_14openalex-snapshot
Uncertain Frequent Pattern Mining
inferred← citeshttps://doi.org/10.1007/978-3-319-10160-6_11openalex-snapshot
BLIMP: A Compact Tree Structure for Uncertain Frequent Pattern Mining
inferred← citeshttps://doi.org/10.1007/978-3-319-13186-3_37openalex-snapshot
A Scalable Data Analytics Algorithm for Mining Frequent Patterns from Uncertain Data
inferred← citeshttps://doi.org/10.1007/978-3-319-14063-6_17openalex-snapshot
An Algorithm for Classification over Uncertain Data Based on Extreme Learning Machine
inferred← citeshttps://doi.org/10.1007/978-3-319-98074-4_10openalex-snapshot
Data Intrinsic Characteristics
inferred← citeshttps://doi.org/10.1007/978-3-642-23544-3_19openalex-snapshot
Frequent Pattern Mining from Time-Fading Streams of Uncertain Data
inferred← citeshttps://doi.org/10.1007/978-3-642-27443-5_100openalex-snapshot
Uncertain Data Classification Using Rough Set Theory
inferred← citeshttps://doi.org/10.1007/978-3-642-35314-7_15openalex-snapshot
Retracted: Naive Credal Classifier for Uncertain Data Classification
inferred← citeshttps://doi.org/10.1007/978-3-642-35314-7_87openalex-snapshot
Erratum: Naive Credal Classifier for Uncertain Data Classification
inferred← citeshttps://doi.org/10.1007/978-3-642-37453-1_2openalex-snapshot
PUF-Tree: A Compact Tree Structure for Frequent Pattern Mining of Uncertain Data
inferred← citeshttps://doi.org/10.1007/978-3-642-37487-6_33openalex-snapshot
Mining Frequent Patterns from Uncertain Data with MapReduce for Big Data Analytics
inferred← citeshttps://doi.org/10.1007/978-3-642-37574-3_8openalex-snapshot
Discovering Frequent Patterns from Uncertain Data Streams with Time-Fading and Landmark Models
inferred← citeshttps://doi.org/10.1007/978-3-642-40131-2_18openalex-snapshot
Stream Mining of Frequent Patterns from Delayed Batches of Uncertain Data
inferred← citeshttps://doi.org/10.1007/978-981-15-8731-3_8openalex-snapshot
Vertical Data Mining from Relational Data and Its Application to COVID-19 Data
inferred← citeshttps://doi.org/10.1007/s10489-015-0669-7openalex-snapshot
Knowledge discovery of customer purchasing intentions by plausible-frequent itemsets from uncertain data
inferred← citeshttps://doi.org/10.1007/s12008-021-00807-8openalex-snapshot
Identification of the key manufacturing parameters impacting the prediction accuracy of support vector machine (SVM) model for quality assessment
inferred← citeshttps://doi.org/10.1016/j.datak.2011.07.009openalex-snapshot
Mining frequent patterns from univariate uncertain data
inferred← citeshttps://doi.org/10.1016/j.eswa.2021.115691openalex-snapshot
Handling the impact of feature uncertainties on SVM: A robust approach based on Sobol sensitivity analysis
inferred← citeshttps://doi.org/10.1016/j.future.2013.10.026openalex-snapshot
Mining constrained frequent itemsets from distributed uncertain data
inferred← citeshttps://doi.org/10.1016/j.ijin.2020.11.004openalex-snapshot
Intelligent applications of cloud computing in enhancing health care services
inferred← citeshttps://doi.org/10.1016/j.ins.2013.02.010openalex-snapshot
FARP: Mining fuzzy association rules from a probabilistic quantitative database
inferred← citeshttps://doi.org/10.1016/j.knosys.2013.07.005openalex-snapshot
Outlier detection on uncertain data based on local information
inferred← citeshttps://doi.org/10.1016/j.knosys.2018.04.001openalex-snapshot
Incremental mining maximal frequent patterns from univariate uncertain data
inferred← citeshttps://doi.org/10.1016/j.neucom.2015.05.121openalex-snapshot
An algorithm for classification over uncertain data based on extreme learning machine
inferred← citeshttps://doi.org/10.1016/j.procs.2014.08.113openalex-snapshot
Tightening Upper Bounds to the Expected Support for Uncertain Frequent Pattern Mining
inferred← citeshttps://doi.org/10.1016/j.procs.2018.08.075openalex-snapshot
Item-centric mining of frequent patterns from big uncertain data
inferred← citeshttps://doi.org/10.1109/bigdata.2018.8622260openalex-snapshot
Privacy-Preserving Frequent Pattern Mining from Big Uncertain Data
inferred← citeshttps://doi.org/10.1109/bigdata.congress.2014.53openalex-snapshot
Reducing the Search Space for Big Data Mining for Interesting Patterns from Uncertain Data
inferred← citeshttps://doi.org/10.1109/bigdata66926.2025.11401549openalex-snapshot
Machine Learning on Big Data for Crime Trend Analytics and Prediction
inferred← citeshttps://doi.org/10.1109/bigdata66926.2025.11402545openalex-snapshot
Machine Learning on Big Economic Data for Predictive Financial Analytics
inferred← citeshttps://doi.org/10.1109/cbdcom68404.2025.00024openalex-snapshot
A Big Sports Data Analytics Solution for Redefining Basketball Player Roles
inferred← citeshttps://doi.org/10.1109/cbdcom68404.2025.00025openalex-snapshot
A Big Data Analytics Solution to Mine Frequent Patterns and Detect Anomalies from 311 City Service Requests
inferred← citeshttps://doi.org/10.1109/compsac57700.2023.00201openalex-snapshot
Evolution of Big Data Models from Hierarchical Models to Knowledge Graphs
inferred← citeshttps://doi.org/10.1109/compsac57700.2023.00202openalex-snapshot
Privacy Preservation of Big Spatio-Temporal Co-occurrence Data
inferred← citeshttps://doi.org/10.1109/fskd.2012.6233920openalex-snapshot
Efficient cube computing on an extended multidimensional model over uncertain data
inferred← citeshttps://doi.org/10.1109/iccci.2017.8117705openalex-snapshot
A novel approach for mining patterns from large uncertain data using MapReduce model
inferred← citeshttps://doi.org/10.1109/icdh60066.2023.00049openalex-snapshot
Mining Sequential Patterns with Timelines from Digital Health Data
inferred← citeshttps://doi.org/10.1109/icdmw.2011.177openalex-snapshot
Visually Contrast Two Collections of Frequent Patterns
inferred← citeshttps://doi.org/10.1109/icdmw.2011.86openalex-snapshot
FpMapViz: A Space-Filling Visualization for Frequent Patterns
inferred← citeshttps://doi.org/10.1109/iri58017.2023.00046openalex-snapshot
A Data Science Solution for Analyzing Long COVID Cases
inferred← citeshttps://doi.org/10.1109/iri58017.2023.00050openalex-snapshot
A Transportation Analytic Solution for Predicting Flight Cancellations
inferred← citeshttps://doi.org/10.1109/iv60283.2023.00053openalex-snapshot
A Data Discovery and Visualization Tool for Visual Analytics of Time Series in Digital Agriculture
inferred← citeshttps://doi.org/10.1109/iv60283.2023.00061openalex-snapshot
Visual Knowledge Discovery from Public Transit Performance Data
inferred← citeshttps://doi.org/10.1109/jstars.2018.2874499openalex-snapshot
A Pattern-Based Method For Handling Confidence Measures While Mining Satellite Displacement Field Time Series: Application to Greenland Ice Sheet and Alpine Glaciers
inferred← citeshttps://doi.org/10.1109/tisc.2011.6169078openalex-snapshot
Rough set anlaysis for uncertain data classification
inferred← citeshttps://doi.org/10.1109/waina.2014.11openalex-snapshot
Distributed Uncertain Data Mining for Frequent Patterns Satisfying Anti-monotonic Constraints
inferred← citeshttps://doi.org/10.1145/2076623.2076659openalex-snapshot
A landmark-model based system for mining frequent patterns from uncertain data streams
inferred← citeshttps://doi.org/10.1145/2351476.2351500openalex-snapshot
Mining probabilistic datasets vertically
inferred← citeshttps://doi.org/10.1155/2013/209672openalex-snapshot
Efficient Processing of ContinuousSkylineQuery over Smarter Traffic Data Stream for Cloud Computing
inferred← citeshttps://doi.org/10.1504/ijscc.2016.076842openalex-snapshot
A fuzzy logic-based clustering algorithm for network optimisation
inferred← citeshttps://doi.org/10.4018/978-1-4666-5202-6.ch030openalex-snapshot
Big Data Mining and Analytics
inferred← citeshttps://doi.org/10.4156/ijact.vol3.issue1.9openalex-snapshot
Top-k Query Based on Statistical Information Extraction Model
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.