| # | Title | Journal | Year | Citations |
|---|
| 1 | A Tutorial on Support Vector Machines for Pattern Recognition | Data Mining and Knowledge Discovery | 1998 | 12,673 |
| 2 | Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach | Data Mining and Knowledge Discovery | 2004 | 2,034 |
| 3 | Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Values | Data Mining and Knowledge Discovery | 1998 | 1,773 |
| 4 | Deep learning for time series classification: a review | Data Mining and Knowledge Discovery | 2019 | 1,656 |
| 5 | Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals | Data Mining and Knowledge Discovery | 1997 | 1,218 |
| 6 | Experiencing SAX: a novel symbolic representation of time series | Data Mining and Knowledge Discovery | 2007 | 1,190 |
| 7 | Frequent pattern mining: current status and future directions | Data Mining and Knowledge Discovery | 2007 | 1,109 |
| 8 | Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications | Data Mining and Knowledge Discovery | 1998 | 1,059 |
| 9 | E-Commerce Recommendation Applications | Data Mining and Knowledge Discovery | 2001 | 1,056 |
| 10 | Discovery of Frequent Episodes in Event Sequences | Data Mining and Knowledge Discovery | 1997 | 974 |
| 11 | Bursty and Hierarchical Structure in Streams | Data Mining and Knowledge Discovery | 2003 | 898 |
| 12 | Graph based anomaly detection and description: a survey | Data Mining and Knowledge Discovery | 2015 | 897 |
| 13 | The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances | Data Mining and Knowledge Discovery | 2017 | 838 |
| 14 | Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey | Data Mining and Knowledge Discovery | 1998 | 751 |
| 15 | On Bias, Variance, 0/1—Loss, and the Curse-of-Dimensionality | Data Mining and Knowledge Discovery | 1997 | 729 |
| 16 | Discretization: An Enabling Technique | Data Mining and Knowledge Discovery | 2002 | 729 |
| 17 | Levelwise Search and Borders of Theories in Knowledge Discovery | Data Mining and Knowledge Discovery | 1997 | 706 |
| 18 | A survey of hierarchical classification across different application domains | Data Mining and Knowledge Discovery | 2011 | 693 |
| 19 | On Comparing Classifiers: Pitfalls to Avoid and a Recommended Approach | Data Mining and Knowledge Discovery | 1997 | 653 |
| 20 | Adaptive Fraud Detection | Data Mining and Knowledge Discovery | 1997 | 649 |
| 21 | On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical Demonstration | Data Mining and Knowledge Discovery | 2003 | 649 |
| 22 | BIRCH: A New Data Clustering Algorithm and Its Applications | Data Mining and Knowledge Discovery | 1997 | 643 |
| 23 | Experimental comparison of representation methods and distance measures for time series data | Data Mining and Knowledge Discovery | 2013 | 612 |
| 24 | Real-world Data is Dirty: Data Cleansing and The Merge/Purge Problem | Data Mining and Knowledge Discovery | 1998 | 582 |
| 25 | InceptionTime: Finding AlexNet for time series classification | Data Mining and Knowledge Discovery | 2020 | 542 |
| 26 | Community detection in Social Media | Data Mining and Knowledge Discovery | 2012 | 509 |
| 27 | Bayesian Networks for Data Mining | Data Mining and Knowledge Discovery | 1997 | 489 |
| 28 | Controlled experiments on the web: survey and practical guide | Data Mining and Knowledge Discovery | 2009 | 486 |
| 29 | Hierarchical Clustering Algorithms for Document Datasets | Data Mining and Knowledge Discovery | 2005 | 452 |
| 30 | Three naive Bayes approaches for discrimination-free classification | Data Mining and Knowledge Discovery | 2010 | 445 |
| 31 | On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study | Data Mining and Knowledge Discovery | 2016 | 445 |
| 32 | Training and assessing classification rules with imbalanced data | Data Mining and Knowledge Discovery | 2014 | 444 |
| 33 | Advances in Instance Selection for Instance-Based Learning Algorithms | Data Mining and Knowledge Discovery | 2002 | 435 |
| 34 | Characteristic-Based Clustering for Time Series Data | Data Mining and Knowledge Discovery | 2006 | 435 |
| 35 | Computing LTS Regression for Large Data Sets | Data Mining and Knowledge Discovery | 2006 | 415 |
| 36 | Genetic process mining: an experimental evaluation | Data Mining and Knowledge Discovery | 2007 | 372 |
| 37 | Ordinal, Continuous and Heterogeneous k-Anonymity Through Microaggregation | Data Mining and Knowledge Discovery | 2005 | 370 |
| 38 | Classification of time series by shapelet transformation | Data Mining and Knowledge Discovery | 2014 | 368 |
| 39 | ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels | Data Mining and Knowledge Discovery | 2020 | 359 |
| 40 | FURIA: an algorithm for unordered fuzzy rule induction | Data Mining and Knowledge Discovery | 2009 | 351 |
| 41 | Time series classification with ensembles of elastic distance measures | Data Mining and Knowledge Discovery | 2015 | 349 |
| 42 | Community discovery using nonnegative matrix factorization | Data Mining and Knowledge Discovery | 2011 | 348 |
| 43 | The BOSS is concerned with time series classification in the presence of noise | Data Mining and Knowledge Discovery | 2015 | 340 |
| 44 | On-Line Unsupervised Outlier Detection Using Finite Mixtures with Discounting Learning Algorithms | Data Mining and Knowledge Discovery | 2004 | 323 |
| 45 | Survey on mining subjective data on the web | Data Mining and Knowledge Discovery | 2012 | 307 |
| 46 | Mining Non-Redundant Association Rules | Data Mining and Knowledge Discovery | 2004 | 304 |
| 47 | Efficient Adaptive-Support Association Rule Mining for Recommender Systems | Data Mining and Knowledge Discovery | 2002 | 301 |
| 48 | (null) | Data Mining and Knowledge Discovery | 2001 | 294 |
| 49 | Finding Frequent Patterns in a Large Sparse Graph* | Data Mining and Knowledge Discovery | 2005 | 285 |
| 50 | Characterizing concept drift | Data Mining and Knowledge Discovery | 2016 | 285 |
| 51 | The Role of Occam's Razor in Knowledge Discovery | Data Mining and Knowledge Discovery | 1999 | 282 |
| 52 | Principal Direction Divisive Partitioning | Data Mining and Knowledge Discovery | 1998 | 280 |
| 53 | Discovery and Evaluation of Aggregate Usage Profiles for Web Personalization | Data Mining and Knowledge Discovery | 2002 | 273 |
| 54 | Time series shapelets: a novel technique that allows accurate, interpretable and fast classification | Data Mining and Knowledge Discovery | 2011 | 270 |
| 55 | Beyond Market Baskets: Generalizing Association Rules to Dependence Rules | Data Mining and Knowledge Discovery | 1998 | 268 |
| 56 | Leveraging social media networks for classification | Data Mining and Knowledge Discovery | 2011 | 262 |
| 57 | Performance Evaluation of Deep Neural Networks Applied to Speech Recognition: RNN, LSTM and GRU | Journal of Artificial Intelligence and Soft Computing Research | 2019 | 261 |
| 58 | CID: an efficient complexity-invariant distance for time series | Data Mining and Knowledge Discovery | 2014 | 254 |
| 59 | Mining process models with non-free-choice constructs | Data Mining and Knowledge Discovery | 2007 | 250 |
| 60 | Automatic Subspace Clustering of High Dimensional Data | Data Mining and Knowledge Discovery | 2005 | 248 |
| 61 | Parallel Algorithms for Discovery of Association Rules | Data Mining and Knowledge Discovery | 1997 | 243 |
| 62 | Scalable influence maximization for independent cascade model in large-scale social networks | Data Mining and Knowledge Discovery | 2012 | 242 |
| 63 | Using dynamic time warping distances as features for improved time series classification | Data Mining and Knowledge Discovery | 2016 | 223 |
| 64 | Local outlier detection reconsidered: a generalized view on locality with applications to spatial, video, and network outlier detection | Data Mining and Knowledge Discovery | 2014 | 222 |
| 65 | Learning model trees from evolving data streams | Data Mining and Knowledge Discovery | 2011 | 218 |
| 66 | Discovery of frequent DATALOG patterns | Data Mining and Knowledge Discovery | 1999 | 217 |
| 67 | A Taxonomy of Dirty Data | Data Mining and Knowledge Discovery | 2003 | 209 |
| 68 | Clustering daily patterns of human activities in the city | Data Mining and Knowledge Discovery | 2012 | 209 |
| 69 | Automatically countering imbalance and its empirical relationship to cost | Data Mining and Knowledge Discovery | 2008 | 202 |
| 70 | Locally adaptive metrics for clustering high dimensional data | Data Mining and Knowledge Discovery | 2007 | 201 |
| 71 | Krimp: mining itemsets that compress | Data Mining and Knowledge Discovery | 2011 | 201 |
| 72 | Free-Sets: A Condensed Representation of Boolean Data for the Approximation of Frequency Queries | Data Mining and Knowledge Discovery | 2003 | 197 |
| 73 | A Survey of Methods for Scaling Up Inductive Algorithms | Data Mining and Knowledge Discovery | 1999 | 196 |
| 74 | Sourcerer: mining and searching internet-scale software repositories | Data Mining and Knowledge Discovery | 2009 | 196 |
| 75 | Techniques of Cluster Algorithms in Data Mining | Data Mining and Knowledge Discovery | 2002 | 195 |
| 76 | The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances | Data Mining and Knowledge Discovery | 2021 | 191 |
| 77 | Accurate Prediction of Protein Disordered Regions by Mining Protein Structure Data | Data Mining and Knowledge Discovery | 2005 | 187 |
| 78 | Discovery of Web Robot Sessions Based on their Navigational Patterns | Data Mining and Knowledge Discovery | 2002 | 183 |
| 79 | Fast Distributed Outlier Detection in Mixed-Attribute Data Sets | Data Mining and Knowledge Discovery | 2006 | 181 |
| 80 | Generalizing DTW to the multi-dimensional case requires an adaptive approach | Data Mining and Knowledge Discovery | 2017 | 181 |
| 81 | Constraint-Based Rule Mining in Large, Dense Databases | Data Mining and Knowledge Discovery | 2000 | 178 |
| 82 | Hellinger distance decision trees are robust and skew-insensitive | Data Mining and Knowledge Discovery | 2012 | 176 |
| 83 | Transaction aggregation as a strategy for credit card fraud detection | Data Mining and Knowledge Discovery | 2009 | 175 |
| 84 | Mining GPS Traces for Map Refinement | Data Mining and Knowledge Discovery | 2004 | 173 |
| 85 | Extracting influential nodes on a social network for information diffusion | Data Mining and Knowledge Discovery | 2010 | 170 |
| 86 | A Fast Parallel Clustering Algorithm for Large Spatial Databases | Data Mining and Knowledge Discovery | 1999 | 169 |
| 87 | GenMax: An Efficient Algorithm for Mining Maximal Frequent Itemsets | Data Mining and Knowledge Discovery | 2005 | 169 |
| 88 | Community detection via heterogeneous interaction analysis | Data Mining and Knowledge Discovery | 2012 | 169 |
| 89 | RainForest—A Framework for Fast Decision Tree Construction of Large Datasets | Data Mining and Knowledge Discovery | 2000 | 168 |
| 90 | Model-Based Clustering and Visualization of Navigation Patterns on a Web Site | Data Mining and Knowledge Discovery | 2003 | 167 |
| 91 | catch22: CAnonical Time-series CHaracteristics | Data Mining and Knowledge Discovery | 2019 | 166 |
| 92 | MSQL: A Query Language for Database Mining | Data Mining and Knowledge Discovery | 1999 | 164 |
| 93 | Support Vector Machines and the Bayes Rule in Classification | Data Mining and Knowledge Discovery | 2002 | 164 |
| 94 | A game-theoretic framework to identify overlapping communities in social networks | Data Mining and Knowledge Discovery | 2010 | 163 |
| 95 | Manifold elastic net: a unified framework for sparse dimension reduction | Data Mining and Knowledge Discovery | 2011 | 163 |
| 96 | A systematic approach to the assessment of fuzzy association rules | Data Mining and Knowledge Discovery | 2006 | 160 |
| 97 | A Survey of Artificial Intelligence Techniques Employed for Adaptive Educational Systems within E-Learning Platforms | Journal of Artificial Intelligence and Soft Computing Research | 2017 | 158 |
| 98 | On Issues of Instance Selection | Data Mining and Knowledge Discovery | 2002 | 157 |
| 99 | Spatial Data Mining: Database Primitives, Algorithms and Efficient DBMS Support | Data Mining and Knowledge Discovery | 2000 | 156 |
| 100 | Personalization of Supermarket Product Recommendations | Data Mining and Knowledge Discovery | 2001 | 155 |
