Keyword

large databases

Description: Extensive organized collections of digital data studied and managed in database systems, data mining, and information science.

Primary topic: Data Mining Algorithms and Applications (29%)

OpenAlex ID: keywords/large-databases

Fast Algorithms for Mining Association Rules in Large Databases

1994 · Rakesh Agrawal, Ramakrishnan Srikant · Very Large Data Bases · 9,431

Data Mining: Concepts and Techniques

2014 · Thamaraiselvi, G., Kaliammal, A. · Journal of Information and Knowledge · 4,088

BIRCH

1996 · Tian Zhang, Raghu Ramakrishnan, et al. · Proceedings - ACM-SIGMOD International Conference on Management of Data · 3,889

Feature Selection for Classification

1997 · M DASH, H LIU · Intelligent Data Analysis · 3,579

Estimating Causal Effects from Large Data Sets Using Propensity Scores

1997 · Donald B. Rubin · Annals of Internal Medicine · 2,879

BIRCH

1996 · Tian Zhang, Raghu Ramakrishnan, et al. · ACM SIGMOD Record · 2,096

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Mining time-changing data streams

2001 · Geoff Hulten, Laurie Spencer, et al. · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 1,785

An Efficient Algorithm for Mining Association Rules in Large Databases

1995 · Ashoka Savasere, Edward Omiecinski, et al. · 1,600

Scaling up the accuracy of Naive-Bayes classifiers: a decision-tree hybrid

1996 · Ron Kohavi · 1,405

Query evaluation techniques for large databases

1993 · Goetz Graefe · ACM Computing Surveys · 1,265

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Implementing data cubes efficiently

1996 · Venky Harinarayan, Anand Rajaraman, et al. · Proceedings - ACM-SIGMOD International Conference on Management of Data · 1,188

Sampling Large Databases for Association Rules

1996 · Hannu Toivonen · 1,101

Cure: an efficient clustering algorithm for large databases

2001 · Sudipto Guha, Rajeev Rastogi, et al. · Information Systems · 1,012

Broken Promises of Privacy: Responding to the Surprising Failure of Anonymization

2009 · Paul Ohm · SSRN Electronic Journal · 997

Knowledge discovery and data mining: towards a unifying framework

1996 · Usama M. Fayyad, Gregory Piatetsky-Shapiro, et al. · 856

On Comparing Classifiers: Pitfalls to Avoid and a Recommended Approach

1997 · Steven L. Salzberg · Data Mining and Knowledge Discovery · 828

SPRINT: A Scalable Parallel Classifier for Data Mining

1996 · John Shafer, Rakesh Agrawal, et al. · 787

Outlier Detection Using Replicator Neural Networks

2002 · Simon Hawkins, Hongxing He, et al. · Lecture notes in computer science · 727

Scaling clustering algorithms to large databases

1998 · Patricia Bradley, Usama M. Fayyad, et al. · 716

Dynamic Searchable Encryption in Very-Large Databases: Data Structures and Implementation

2014 · David Cash, Joseph Jaeger, et al. · Network and Distributed System Security Symposium · 692

Tane: An Efficient Algorithm for Discovering Functional and Approximate Dependencies

1999 · Y. Huhtala · The Computer Journal · 599

Probabilistic neural networks and the polynomial Adaline as complementary techniques for classification

1990 · D.F. Specht · IEEE Transactions on Neural Networks · 577

Efficient mining of both positive and negative association rules

2004 · Xindong Wu, Chengqi Zhang, et al. · ACM Transactions on Information Systems · 466

Toward scalable learning with non-uniform class and cost distributions: a case study in credit card fraud detection

1998 · Philip K. Chan, Salvatore J. Stolfo · 452

Computing iceberg concept lattices with Titanic

2002 · Gerd Stumme, Rafik Taouil, et al. · Data & Knowledge Engineering · 450

Works count: 3,062

Citation count: 73,460