Using association rules for product assortment decisions: a case study

Visualizing association rules with interactive mosaic plots

Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining

A data mining framework for optimal product selection in retail supermarket data: the generalized PROFSET model

Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining

Using a starfield visualization for analyzing product performance of online stores

Proceedings of the 2nd ACM conference on Electronic commerce

Visualization and Analysis of Clickstream Data of Online Stores for Understanding Web Merchandising

Data Mining and Knowledge Discovery

Profit Mining: From Patterns to Actions

EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology

Applying Objective Interestingness Measures in Data Mining Systems

PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery

Indirect Association: Mining Higher Order Dependencies in Data

PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery

Mining Indirect Associations in Web Data

WEBKDD '01 Revised Papers from the Third International Workshop on Mining Web Log Data Across All Customers Touch Points

Item selection by "hub-authority" profit ranking

Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining

MPIS: Maximal-Profit Item Selection with Cross-Selling Considerations

ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining

On the Use of Optimization for Data Mining: Theoretical Interactions and eCRM Opportunities

Management Science

Selecting the right objective measure for association analysis

Information Systems - Knowledge discovery and data mining (KDD 2002)

On the complexity of inducing categorical and quantitative association rules

Theoretical Computer Science

Advances in frequent itemset mining implementations: report on FIMI'03

ACM SIGKDD Explorations Newsletter - Special issue on learning from imbalanced datasets

On the discovery of significant statistical quantitative rules

Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining

Predicting customer shopping lists from point-of-sale purchase data

Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining

Dense itemsets

Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining

Distributed approximate mining of frequent patterns

Proceedings of the 2005 ACM symposium on Applied computing

Agents and Stream Data Mining: A New Perspective

IEEE Intelligent Systems

Mining Customer Value: From Association Rules to Direct Marketing

Data Mining and Knowledge Discovery

Data Mining for Inventory Item Selection with Cross-Selling Considerations

Data Mining and Knowledge Discovery

Maximal Association Rules: A Tool for Mining Associations in Text

Journal of Intelligent Information Systems

Induction of compact decision trees for personalized recommendation

Proceedings of the 2006 ACM symposium on Applied computing

DADA: a data cube for dominant relationship analysis

Proceedings of the 2006 ACM SIGMOD international conference on Management of data

Towards an evolutionary tool for the allocation of supermarket shelf space

Proceedings of the 8th annual conference on Genetic and evolutionary computation

Assessing data mining results via swap randomization

Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining

Discovering significant rules

Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining

Finding highly correlated pairs efficiently with powerful pruning

CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management

CFP-tree: A compact disk-based structure for storing and querying frequent itemsets

Information Systems

A data mining approach to product assortment and shelf space allocation

Expert Systems with Applications: An International Journal

Dare to share: Protecting sensitive knowledge with data sanitization

Decision Support Systems

Customer-oriented catalog segmentation: effective solution approaches

Decision Support Systems

Minimizing Information Loss and Preserving Privacy

Management Science

Automatic discovery of locally frequent itemsets in the presence of highly frequent itemsets

Intelligent Data Analysis

Maximizing Accuracy of Shared Databases when Concealing Sensitive Patterns

Information Systems Research

Discovering Significant Patterns

Machine Learning

A probabilistic model for item-based recommender systems

Proceedings of the 2007 ACM conference on Recommender systems

Assessing data mining results via swap randomization

ACM Transactions on Knowledge Discovery from Data (TKDD)

Input data for decision trees

Expert Systems with Applications: An International Journal

A unified framework for protecting sensitive association rules in business collaboration

International Journal of Business Intelligence and Data Mining

Approximate mining of frequent patterns on streams

Intelligent Data Analysis - Knowlegde Discovery from Data Streams

Layered critical values: a powerful direct-adjustment approach to discovering significant patterns

Machine Learning

A bottom-up projection based algorithm for mining high utility itemsets

AIDM '07 Proceedings of the 2nd international workshop on Integrating artificial intelligence and data mining - Volume 84

Efficiently Discovering Recent Frequent Items in Data Streams

SSDBM '08 Proceedings of the 20th international conference on Scientific and Statistical Database Management

Weighted Association Rule Mining from Binary and Fuzzy Data

ICDM '08 Proceedings of the 8th industrial conference on Advances in Data Mining: Medical Applications, E-Commerce, Marketing, and Theoretical Aspects

Optimizing Distributed Top-k Queries

WISE '08 Proceedings of the 9th international conference on Web Information Systems Engineering

A new concise representation of frequent itemsets using generators and a positive border

Knowledge and Information Systems

Maximum entropy based significance of itemsets

Knowledge and Information Systems

The value of personalised recommender systems to e-business: a case study

Proceedings of the 2008 ACM conference on Recommender systems

On domination game analysis for microeconomic data mining

ACM Transactions on Knowledge Discovery from Data (TKDD)

Determining the best K for clustering transactional datasets: A coverage density-based approach

Data & Knowledge Engineering

Augmenting productivity analysis with data mining: An application on IT business value

Expert Systems with Applications: An International Journal

Efficient single-pass frequent pattern mining using a prefix-tree

Information Sciences: an International Journal

Streaming association rule (SAR) mining with a weighted order-dependent representation of Web navigation patterns

Expert Systems with Applications: An International Journal

Frequent items in streaming data: An experimental evaluation of the state-of-the-art

Data & Knowledge Engineering

Estimating the number of frequent itemsets in a large database

Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology

Handling Dynamic Weights in Weighted Frequent Pattern Mining

IEICE - Transactions on Information and Systems

Towards efficient mining of proportional fault-tolerant frequent itemsets

Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining

Grocery shopping recommendations based on basket-sensitive random walk

Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining

Efficient Frequent Itemsets Mining by Sampling

Proceedings of the 2006 conference on Advances in Intelligent IT: Active Media Technology 2006

Distributed top-k aggregation queries at large

Distributed and Parallel Databases

Grocery Product Recommendations from Natural Language Inputs

UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH

Identifying the components

Data Mining and Knowledge Discovery

The Model of Most Informative Patterns and Its Application to Knowledge Extraction from Graph Databases

ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II

Self-sufficient itemsets: An approach to screening potentially interesting associations between items

ACM Transactions on Knowledge Discovery from Data (TKDD)

Diverging patterns: discovering significant frequency change dissimilarities in large databases

Proceedings of the 18th ACM conference on Information and knowledge management

Integration of heterogeneous models to predict consumer behavior

Expert Systems with Applications: An International Journal

Robust and distributed top-n frequent-pattern mining with SAP BW accelerator

Proceedings of the VLDB Endowment

Direct and indirect effects of retail promotions on sales and profits in the do-it-yourself market

Expert Systems with Applications: An International Journal

SCALE: a scalable framework for efficiently clustering transactional data

Data Mining and Knowledge Discovery

A temporal data mining approach for shelf-space allocation with consideration of product price

Expert Systems with Applications: An International Journal

Mining periodic-frequent patterns with maximum items' support constraints

Proceedings of the Third Annual ACM Bangalore Conference

Mining online shopping patterns and communities

Proceedings of the 11th International Conference on Information Integration and Web-based Applications & Services

Using background knowledge to rank itemsets

Data Mining and Knowledge Discovery

Designing customer-oriented catalogs in e-CRM using an effective self-adaptive genetic algorithm

Expert Systems with Applications: An International Journal

Discovering itemset interactions

ACSC '09 Proceedings of the Thirty-Second Australasian Conference on Computer Science - Volume 91

Set cover algorithms for very large datasets

CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management

Towards efficient mining of periodic-frequent patterns in transactional databases

DEXA'10 Proceedings of the 21st international conference on Database and expert systems applications: Part II

Memory-efficient frequent-itemset mining

Proceedings of the 14th International Conference on Extending Database Technology

A new approach of inventory classification based on loss profit

Expert Systems with Applications: An International Journal

HUC-Prune: an efficient candidate pruning technique to mine high utility patterns

Applied Intelligence

Maximum entropy models and subjective interestingness: an application to tiles in binary databases

Data Mining and Knowledge Discovery

DualRank: a dual-phase algorithm for optimal profit mining in retailing market

ASIAN'05 Proceedings of the 10th Asian Computing Science conference on Advances in computer science: data management on the web

A framework for visualizing association mining results

ISCIS'06 Proceedings of the 21st international conference on Computer and Information Sciences

Sanitization of databases for refined privacy trade-offs

ISI'06 Proceedings of the 4th IEEE international conference on Intelligence and Security Informatics

Constructing complete FP-Tree for incremental mining of frequent patterns in dynamic databases

IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems

Two new techniques for hiding sensitive itemsets and their empirical evaluation

DaWaK'06 Proceedings of the 8th international conference on Data Warehousing and Knowledge Discovery

Mining value-based item packages – an integer programming approach

Data Mining

Mining rare association rules in the datasets with widely varying items' frequencies

DASFAA'10 Proceedings of the 15th international conference on Database Systems for Advanced Applications - Volume Part I

Consumption universes based supermarket layout through association rule mining and multidimensional scaling

Expert Systems with Applications: An International Journal

An efficient approach to mine rare association rules using maximum items' support constraints

BNCOD'10 Proceedings of the 27th British national conference on Data Security and Security Data

Market basket analysis of retail data: supervised learning approach

EUROCAST'11 Proceedings of the 13th international conference on Computer Aided Systems Theory - Volume Part I

An efficient approach to mine periodic-frequent patterns in transactional databases

PAKDD'11 Proceedings of the 15th international conference on New Frontiers in Applied Data Mining

Temporal data mining with up-to-date pattern trees

Expert Systems with Applications: An International Journal

WeightTransmitter: weighted association rule mining using landmark weights

PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II

A universal toolkit for cryptographically secure privacy-preserving data mining

PAISI'12 Proceedings of the 2012 Pacific Asia conference on Intelligence and Security Informatics

Mop: An Efficient Algorithm for Mining Frequent Pattern with Subtree Traversing

Fundamenta Informaticae

Summarizing data succinctly with the most informative itemsets

ACM Transactions on Knowledge Discovery from Data (TKDD) - Special Issue on the Best of SIGKDD 2011

Crowd mining

Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data

pcApriori: scalable apriori for multiprocessor systems

Proceedings of the 25th International Conference on Scientific and Statistical Database Management

Identifying streaming frequent items in ad hoc time windows

Data & Knowledge Engineering

Key roles of closed sets and minimal generators in concise representations of frequent patterns

Intelligent Data Analysis