A unified approach for discovery of interesting association rules in medical databases
H Kaur, SK Wasan, AS Al-Hegami… - Advances in Data Mining …, 2006 - Springer
Association rule discovery is an important technique for mining knowledge from large
databases. Data mining researchers have studied subjective measures of interestingness to …
databases. Data mining researchers have studied subjective measures of interestingness to …
On the distribution of the number of monotone Boolean functions relative to the number of lower units
AD Korshunov, I Shmulevich - Discrete mathematics, 2002 - Elsevier
We find asymptotic formulae for the number of monotone Boolean functions of n variables
with a most probable number of terms in the minimal disjunctive normal form. It is proven that …
with a most probable number of terms in the minimal disjunctive normal form. It is proven that …
Visual data mining using monotone Boolean functions
B Kovalerchuk, F Delizy - Visual and spatial analysis: Advances in data …, 2005 - Springer
This chapter describes a new technique for extracting patterns and relations visually from
multidimensional binary data using monotone Boolean functions. Visual Data Mining has …
multidimensional binary data using monotone Boolean functions. Visual Data Mining has …
[PDF][PDF] Design of consistent system for radiologists to support breast cancer diagnosis
B Kovalerchuk, E Vityaev, JF Ruiz - Joint Conf. of Information …, 1997 - academia.edu
The overall purpose of this study is to develop a prototype radiologic consultation system.
The system should provide a second diagnostic opinion based on similar cases …
The system should provide a second diagnostic opinion based on similar cases …
Visual data mining and discovery with binarized vectors
B Kovalerchuk, F Delizy, L Riggs, E Vityaev - Data Mining: Foundations …, 2012 - Springer
The emerging field of Visual Analytics combines several fields where Data Mining and
Visualization play leading roles. The fundamental departure of visual analytics from other …
Visualization play leading roles. The fundamental departure of visual analytics from other …
Discovering rules that govern monotone phenomena
VI Torvik, E Triantaphyllou - Data Mining and Knowledge Discovery …, 2006 - Springer
Unlocking the mystery of natural phenomena is a universal objective in scientific research.
The rules governing a phenomenon can most often be learned by observing it under a …
The rules governing a phenomenon can most often be learned by observing it under a …
Guided inference of nested monotone Boolean functions
VI Torvik, E Triantaphyllou - Information Sciences, 2003 - Elsevier
This paper addresses the problem of minimizing the average query complexity of inferring a
pair of nested monotone Boolean functions defined on {0, 1} n using a pair of oracles. Here …
pair of nested monotone Boolean functions defined on {0, 1} n using a pair of oracles. Here …
Nearly tight bounds for discrete search under outlier noise
Binary search is one of the most fundamental search routines, exploiting the hidden
structure of the search space. In particular, it cuts down exponentially on the complexity of …
structure of the search space. In particular, it cuts down exponentially on the complexity of …
Fuzzy HMC classifiers
WA Porter, W Liu - Information sciences, 1996 - Elsevier
In this study, we present a design strategy for hierarchical modular classifiers applicable to
fuzzy and/or overlapping categories. The design includes techniques for decomposing a …
fuzzy and/or overlapping categories. The design includes techniques for decomposing a …
Sensor Resource Management: Intelligent Multi-objective Modularized Optimization Methodology and Models
B Kovalerchuk, L Perlovsky - … in Computational Intelligence in Defense and …, 2016 - Springer
The importance of the optimal Sensor Resource Management (SRM) problem is growing.
The number of Radar, EO/IR, Overhead Persistent InfraRed (OPIR), and other sensors with …
The number of Radar, EO/IR, Overhead Persistent InfraRed (OPIR), and other sensors with …