Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Instance-Based Learning Algorithms
Machine Learning
A training algorithm for optimal margin classifiers
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
C4.5: programs for machine learning
C4.5: programs for machine learning
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
The nature of statistical learning theory
The nature of statistical learning theory
Unifying instance-based and rule-based induction
Machine Learning
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
Machine Learning - Special issue on learning with probabilistic representations
Mining the most interesting rules
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Expert Systems and Probabiistic Network Models
Expert Systems and Probabiistic Network Models
Machine Learning
On Comparing Classifiers: Pitfalls toAvoid and a Recommended Approach
Data Mining and Knowledge Discovery
Information Technology and Management
Combination of multiple classifiers for the customer's purchase behavior prediction
Decision Support Systems - Special issue: Agents and e-commerce business models
ECML '95 Proceedings of the 8th European Conference on Machine Learning
The Alternating Decision Tree Learning Algorithm
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
On Evaluating Performance of Classifiers for Rare Classes
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
A comparative assessment of classification methods
Decision Support Systems
A framework of web-based decision support systems for portfolio selection with OLAP and PVM
Decision Support Systems
Machine Learning
A scalable decision tree system and its application in pattern recognition and intrusion detection
Decision Support Systems
Stochastic ordering and robustness in classification from a Bayesian network
Decision Support Systems
A hybrid sales forecasting system based on clustering and decision trees
Decision Support Systems
Mobile commerce integrated with RFID technology in a container depot
Decision Support Systems
Fast learning in networks of locally-tuned processing units
Neural Computation
RFID-enabled shelf replenishment with backroom monitoring in retail stores
Decision Support Systems
Combining RFID technology with social media marketing - a value network analysis
International Journal of Business Information Systems
CBC: An associative classifier with a small number of rules
Decision Support Systems
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The problem of products missing from the shelf is a major one in the grocery retail sector, as it leads to lost sales and decreased consumer loyalty. Yet, the possibilities for detecting and measuring an ''out-of-shelf'' situation are limited. In this paper we suggest the employment of machine-learning techniques in order to develop a rule-based Decision Support System for automatically detecting products that are not on the shelf based on sales and other data. Results up-to-now suggest that rules related with the detection of ''out-of-shelf'' products are characterized by acceptable levels of predictive accuracy and problem coverage.