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A Framework for Measuring Differences in Data Characteristics

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-1-4899-4541-9openalex-snapshot
An Introduction to the Bootstrap
inferredcites →https://doi.org/10.1007/bfb0014141openalex-snapshot
SLIQ: A fast scalable classifier for data mining
inferredcites →https://doi.org/10.1007/bfb0100984openalex-snapshot
Discovery-driven exploration of OLAP data cubes
inferredcites →https://doi.org/10.1007/s007780050005openalex-snapshot
Clustering categorical data: an approach based on dynamical systems
inferredcites →https://doi.org/10.1016/0377-2217(85)90321-2openalex-snapshot
Classification and regression trees
inferredcites →https://doi.org/10.1016/s0065-2458(08)60034-0openalex-snapshot
Clustering Methodologies in Exploratory Data Analysis
inferredcites →https://doi.org/10.1016/s0306-4379(01)00008-4openalex-snapshot
Cure: an efficient clustering algorithm for large databases
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/a:1009839829793openalex-snapshot
RainForest—A Framework for Fast Decision Tree Construction of Large Datasets
inferredcites →https://doi.org/10.1023/a:1009887311454openalex-snapshot
PUBLIC: A Decision Tree Classifier that Integrates Building and Pruning
inferredcites →https://doi.org/10.1080/00401706.1987.10488292openalex-snapshot
Goodness-of-Fit Techniques
inferredcites →https://doi.org/10.1080/01621459.1988.10478652openalex-snapshot
Tree-Structured Classification Via Generalized Discriminant Analysis
inferredcites →https://doi.org/10.1109/69.250074openalex-snapshot
Database mining: a performance perspective
inferredcites →https://doi.org/10.1109/69.553165openalex-snapshot
What makes patterns interesting in knowledge discovery systems
inferredcites →https://doi.org/10.1109/icde.1996.492094openalex-snapshot
Maintenance of discovered association rules in large databases: an incremental updating technique
inferredcites →https://doi.org/10.1109/icde.1998.655751openalex-snapshot
Proceedings 14th International Conference on Data Engineering
inferredcites →https://doi.org/10.1109/icde.1999.754966openalex-snapshot
Clustering large datasets in arbitrary metric spaces
inferredcites →https://doi.org/10.1109/icde.1999.754967openalex-snapshot
ROCK: a robust clustering algorithm for categorical attributes
inferredcites →https://doi.org/10.1145/1951365openalex-snapshot
Proceedings of the 14th International Conference on Extending Database Technology
inferredcites →https://doi.org/10.1145/223784.223813openalex-snapshot
An effective hash-based algorithm for mining association rules
inferredcites →https://doi.org/10.1145/233269.233324openalex-snapshot
BIRCH
inferredcites →https://doi.org/10.1145/240455.240472openalex-snapshot
A database perspective on knowledge discovery
inferredcites →https://doi.org/10.1145/253260.253288openalex-snapshot
An array-based algorithm for simultaneous multidimensional aggregates
inferredcites →https://doi.org/10.1145/253260.253325openalex-snapshot
Dynamic itemset counting and implication rules for market basket data
inferredcites →https://doi.org/10.1145/276304.276307openalex-snapshot
Exploratory mining and pruning optimizations of constrained associations rules
inferredcites →https://doi.org/10.1145/276304.276314openalex-snapshot
Automatic subspace clustering of high dimensional data for data mining applications
inferredcites →https://doi.org/10.1145/304181.304197openalex-snapshot
BOAT—optimistic decision tree construction
inferredcites →https://doi.org/10.1145/304182openalex-snapshot
Proceedings of the 1999 ACM SIGMOD international conference on Management of data
inferredcites →https://doi.org/10.1145/312129.312201openalex-snapshot
CACTUS—clustering categorical data using summaries
inferredcites →https://doi.org/10.1145/564691.564715openalex-snapshot
Storing and querying ordered XML using a relational database system
inferredcites →https://doi.org/10.1201/9780429246593openalex-snapshot
An Introduction to the Bootstrap
inferredcites →https://doi.org/10.2307/1165059openalex-snapshot
Goodness-of-Fit Techniques
inferredcites →https://doi.org/10.2307/2090688openalex-snapshot
Sample Design in Business Research.
inferredcites →https://doi.org/10.2307/2288003openalex-snapshot
Classification and Regression Trees.
inferredcites →https://doi.org/10.2307/2289297openalex-snapshot
Tree-Structured Classification Via Generalized Discriminant Analysis: Rejoinder
inferredcites →https://doi.org/10.2307/2344686openalex-snapshot
The Statistical Analysis of Time Series.
inferredcites →https://doi.org/10.2307/2530946openalex-snapshot
Classification and Regression Trees.
inferredcites →https://doi.org/10.2307/2532976openalex-snapshot
The Statistical Analysis of Time Series.
inferredcites →https://doi.org/10.2307/3006777openalex-snapshot
Sample Design in Business Research
inferredcites →https://doi.org/10.7551/mitpress/4472.003.0030openalex-snapshot
On the Computation of Multidimensional Aggregates

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/int.20094openalex-snapshot
The EDAM project: Mining atmospheric aerosol datasets
inferred← citeshttps://doi.org/10.1002/qre.1132openalex-snapshot
Change detection in the Cox Proportional Hazards models from different reliability data
inferred← citeshttps://doi.org/10.1002/widm.27openalex-snapshot
Contrast and change mining
inferred← citeshttps://doi.org/10.1007/978-0-387-47534-9_5openalex-snapshot
A Survey of Change Diagnosis Algorithms in Evolving Data Streams
inferred← citeshttps://doi.org/10.1007/978-1-4614-6170-8_223openalex-snapshot
Community Evolution
inferred← citeshttps://doi.org/10.1007/978-1-4614-7163-9_223-1openalex-snapshot
Community Evolution
inferred← citeshttps://doi.org/10.1007/978-1-4939-7131-2_223openalex-snapshot
Community Evolution
inferred← citeshttps://doi.org/10.1007/978-3-319-22729-0_19openalex-snapshot
Materializing Baseline Views for Deviation Detection Exploratory OLAP
inferred← citeshttps://doi.org/10.1007/978-3-540-68125-0_15openalex-snapshot
Unsupervised Change Analysis Using Supervised Learning
inferred← citeshttps://doi.org/10.1007/978-3-642-03915-7_3openalex-snapshot
Change (Detection) You Can Believe in: Finding Distributional Shifts in Data Streams
inferred← citeshttps://doi.org/10.1007/978-3-642-23780-5_16openalex-snapshot
Constrained Logistic Regression for Discriminative Pattern Mining
inferred← citeshttps://doi.org/10.1007/978-3-642-24800-9_14openalex-snapshot
Robustness of Change Detection Algorithms
inferred← citeshttps://doi.org/10.1007/978-981-19-6088-8_17openalex-snapshot
An Approach to Learn Structural Similarity Between Decision Trees Using Hungarian Algorithm
inferred← citeshttps://doi.org/10.1007/s00778-009-0134-5openalex-snapshot
HE-Tree: a framework for detecting changes in clustering structure for categorical data streams
inferred← citeshttps://doi.org/10.1007/s10115-004-0153-xopenalex-snapshot
Architecture for knowledge discovery and knowledge management
inferred← citeshttps://doi.org/10.1007/s10115-009-0264-5openalex-snapshot
Visualizing temporal cluster changes using Relative Density Self-Organizing Maps
inferred← citeshttps://doi.org/10.1016/b978-012088469-8.50019-xopenalex-snapshot
Detecting Change in Data Streams
inferred← citeshttps://doi.org/10.1016/j.ins.2004.12.007openalex-snapshot
Temporal analysis of clusters of supermarket customers: conventional versus interval set approach
inferred← citeshttps://doi.org/10.1016/j.lcats.2012.05.001openalex-snapshot
A model for book inquiry history analysis and book-acquisition recommendation of libraries
inferred← citeshttps://doi.org/10.1016/j.sbspro.2011.07.055openalex-snapshot
Community Evolution Mining in Dynamic Social Networks
inferred← citeshttps://doi.org/10.1080/00207720600891711openalex-snapshot
Modeling support changes in streaming item sets
inferred← citeshttps://doi.org/10.1080/20476965.2019.1710582openalex-snapshot
Monitoring behaviours with model divergence: emailing studies of users with cognitive impairments
inferred← citeshttps://doi.org/10.1109/icacsis.2014.7065820openalex-snapshot
Relative density estimation using Self-Organizing Maps
inferred← citeshttps://doi.org/10.1109/icde.2002.994715openalex-snapshot
An intuitive framework for understanding changes in evolving data streams
inferred← citeshttps://doi.org/10.1109/icdm.2008.34openalex-snapshot
ReDSOM: Relative Density Visualization of Temporal Changes in Cluster Structures Using Self-Organizing Maps
inferred← citeshttps://doi.org/10.1109/icdmw.2006.42openalex-snapshot
Cluster Evolution and Interpretation via Penalties
inferred← citeshttps://doi.org/10.1109/icdmw.2007.89openalex-snapshot
Sequential Change Detection on Data Streams
inferred← citeshttps://doi.org/10.1109/icnc.2007.329openalex-snapshot
Detecting Change in Data Stream: Using Sampling Technique
inferred← citeshttps://doi.org/10.1109/iita.2008.427openalex-snapshot
The Algorithm of Deviation Measure for Cluster Models Based on the FOCUS Framework and BIRCH
inferred← citeshttps://doi.org/10.1109/tkde.2005.78openalex-snapshot
On change diagnosis in evolving data streams
inferred← citeshttps://doi.org/10.1137/1.9781611972764.49openalex-snapshot
Detecting the Change of Clustering Structure in Categorical Data Streams
inferred← citeshttps://doi.org/10.1145/2151163.2151167openalex-snapshot
Discovery and diagnosis of behavioral transitions in patient event streams
inferred← citeshttps://doi.org/10.1145/2674026.2674031openalex-snapshot
Change detection in streaming data in the era of big data
inferred← citeshttps://doi.org/10.1145/872757.872826openalex-snapshot
A framework for diagnosing changes in evolving data streams
inferred← citeshttps://doi.org/10.3233/ida-140645openalex-snapshot
Detecting concept drift: An information entropy based method using an adaptive sliding window
inferred← citeshttps://doi.org/10.3233/ida-2005-9304openalex-snapshot
Association mining in time-varying domains
inferred← citeshttps://doi.org/10.32614/cran.package.datasimilarityopenalex-snapshot
DataSimilarity: Quantifying Similarity of Datasets and Multivariate Two- And k-Sample Testing
inferred← citeshttps://doi.org/10.3745/jips.2006.2.1.044openalex-snapshot
Distance Functions to Detect Changes in Data Streams
inferred← citeshttps://doi.org/10.4018/978-1-7998-2310-0.ch011openalex-snapshot
Guiding Assistive-Technology Adaptations Through Intelligent Stream Mining of Patient Data
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