Data Warehouse implementation for Mixing Process in Tire Manufacture
(2019)
Presentation / Conference Contribution
Dr Maybin Muyeba's Outputs (23)
An energy efficient and resource preserving target tracking approach for wireless sensor networks (2014)
Presentation / Conference Contribution
Efficient object tracking in wireless sensor networks (WSNs) is of importance in many application scenarios such as military and surveillance, health monitoring, etc. In this paper, we propose a target tracking technique from two approaches, dynamic... Read More about An energy efficient and resource preserving target tracking approach for wireless sensor networks.
A Hybrid Approach using Ontology Similarity and Fuzzy Logic for Semantic Question Answering (2014)
Presentation / Conference Contribution
One of the challenges in information retrieval is providing accurate answers to a user’s question often expressed as uncertainty words. Most answers are based on a Syntactic approach rather than a Semantic analysis of the query. In this paper our obj... Read More about A Hybrid Approach using Ontology Similarity and Fuzzy Logic for Semantic Question Answering.
HURI - A novel algorithm for mining high utility rare itemsets (2013)
Presentation / Conference Contribution
In Data mining field, the primary task is to mine frequent itemsets from a transaction database using Association Rule Mining (ARM). Utility Mining aims to identify itemsets with high utilities by considering profit, quantity, cost or other user pref... Read More about HURI - A novel algorithm for mining high utility rare itemsets.
Understanding low back pain using fuzzy association rule mining (2013)
Presentation / Conference Contribution
Classifying Mass Spectral Data Using SVM and Wavelet-Based Feature Extraction (2013)
Presentation / Conference Contribution
The paper investigates the use of support vector machines (SVM) in classifying Matrix-Assisted Laser Desorption Ionisation (MALDI) Time Of Flight (TOF) mass spectra. MALDI-TOF screening is a simple and useful technique for rapidly identifying microor... Read More about Classifying Mass Spectral Data Using SVM and Wavelet-Based Feature Extraction.
Fuzzy classification in web usage mining using fuzzy quantifiers (2013)
Presentation / Conference Contribution
This paper proposes a new algorithm-FC-WPath, a fuzzy rule-based classification of weighted path traversals using fuzzy quantifiers for web usage mining. Web usage mining usually analyses frequent path traversals or frequent subgraphs where each path... Read More about Fuzzy classification in web usage mining using fuzzy quantifiers.
A hybrid interestingness heuristic approach for attribute-oriented mining (2011)
Presentation / Conference Contribution
A hybrid interestingness heuristic algorithm, clusterAOI, is presented that generates a more interesting generalized final table than traditional attribute-oriented induction (AOI). AOI uses a global static threshold to generalize attributes irrespec... Read More about A hybrid interestingness heuristic approach for attribute-oriented mining.
A framework to mine high-level emerging patterns by attribute-oriented induction (2011)
Presentation / Conference Contribution
This paper presents a framework to mine summary emerging patterns in contrast to the familiar low-level patterns. Generally, growth rate based on low-level data and simple supports are used to measure emerging patterns (EP) from one dataset to anothe... Read More about A framework to mine high-level emerging patterns by attribute-oriented induction.
A framework for mining fuzzy association rules from composite items (2009)
Presentation / Conference Contribution
A novel framework is described for mining fuzzy Association Rules (ARs) relating the properties of composite attributes, i.e. attributes or items that each feature a number of values derived from a common schema. To apply fuzzy Association Rule Minin... Read More about A framework for mining fuzzy association rules from composite items.
Fuzzy Weighted Association Rule Mining with Weighted Support and Confidence Framework (2009)
Presentation / Conference Contribution
In this paper we extend the problem of mining weighted association rules. A classical model of boolean and fuzzy quantitative association rule mining is adopted to address the issue of invalidation of downward closure property (DCP) in weighted assoc... Read More about Fuzzy Weighted Association Rule Mining with Weighted Support and Confidence Framework.
Weighted association rule mining from binary and fuzzy data (2008)
Presentation / Conference Contribution
A novel approach is presented for mining weighted association rules (ARs) from binary and fuzzy data. We address the issue of invalidation of downward closure property (DCP) in weighted association rule mining where each item is assigned a weight acc... Read More about Weighted association rule mining from binary and fuzzy data.
Mining fuzzy association rules from composite items (2008)
Presentation / Conference Contribution
This paper presents an approach for mining fuzzy Association Rules (ARs) relating the properties of composite items, i.e. items that each feature a number of values derived from a common schema. We partition the values associated to properties into f... Read More about Mining fuzzy association rules from composite items.
Threat Modeling Revisited: Improving Expressiveness of Attack (2008)
Presentation / Conference Contribution
Threat modeling plays an important role in the deployment of optimal security controls and a number of threat modeling techniques have been proposed. However, most of the existing techniques lack adequate semantics and expressiveness. This paper revi... Read More about Threat Modeling Revisited: Improving Expressiveness of Attack.
A weighted utility framework for mining association rules (2008)
Presentation / Conference Contribution
Association rule mining (ARM) identifies frequent itemsets from databases and generates association rules by assuming that all items have the same significance and frequency of occurrence in a record i.e. their weight and utility is the same (weight=... Read More about A weighted utility framework for mining association rules.
On extraction of Nutritional Patterns (NPS) using fuzzy association rule mining (2008)
Presentation / Conference Contribution
Fuzzification of spiked neural networks (2008)
Presentation / Conference Contribution
Biological systems are slow, wide and messy whereas computer systems are fast, deep and precise. Fuzzy neural networks use fuzzy logic to implement higher level reasoning and incorporate expert knowledge into the system while neural networks deal wit... Read More about Fuzzification of spiked neural networks.
A Method for Web Information Extraction (2008)
Presentation / Conference Contribution
The Word Wide Web has become one of the most important information repositories. However, information in web pages is free from standards in presentation and lacks being organized in a good format. It is a challenging work to extract appropriate and... Read More about A Method for Web Information Extraction.
An algorithm to mine general association rules from tabular data (2007)
Presentation / Conference Contribution
Mining association rules is a major technique within data mining and has many applications. Most methods for mining association rules from tabular data mine simple rules which only represent equality in their items. Limiting the operator only to “=”... Read More about An algorithm to mine general association rules from tabular data.
On clustering attribute-oriented induction (2007)
Presentation / Conference Contribution
Conceptual clustering forms groups of related data items using some distance metrics. Inductive techniques like attribute-oriented induction AOI) generate meta-level descriptions of attribute values without explicitly stated distance metrics and over... Read More about On clustering attribute-oriented induction.