Open Access. Powered by Scholars. Published by Universities.®
- Discipline
- Publication
- Publication Type
Articles 1 - 6 of 6
Full-Text Articles in Computer Engineering
Development Of An Enhanced Generic Data Mining Life Cycle (Dmlc), Markus Hofmann, Brendan Tierney
Development Of An Enhanced Generic Data Mining Life Cycle (Dmlc), Markus Hofmann, Brendan Tierney
The ITB Journal
Data mining projects are complex and have a high failure rate. In order to improve project management and success rates of such projects a life cycle is vital to the overall success of the project. This paper reports on a research project that was concerned with the life cycle development for large scale data mining projects. The paper provides a detailed view of the design and development of a generic data mining life cycle called DMLC. The life cycle aims to support all members of data mining project teams as well as IT managers and academic researchers and may improve …
A Window Of Opportunity: Assessing Behavioural Scoring, Kenneth Kennedy, Brian Mac Namee, Sarah Jane Delany, Michael O'Sullivan, Neil Watson
A Window Of Opportunity: Assessing Behavioural Scoring, Kenneth Kennedy, Brian Mac Namee, Sarah Jane Delany, Michael O'Sullivan, Neil Watson
Articles
After credit has been granted, lenders use behavioural scoring to assess the likelihood of default occurring during some specific outcome period. This assessment is based on customers’ repayment performance over a given fixed period. Often the outcome period and fixed performance period are arbitrarily selected, causing instability in making predictions. Behavioural scoring has failed to receive the same attention from researchers as application scoring. The bias for application scoring research can be attributed, in part, to the large volume of data required for behavioural scoring studies. Furthermore, the commercial sensitivities associated with such a large pool of customer data often …
A Review Of Situation Identification Techniques In Pervasive Computing, Juan Ye, Simon Dobson, Susan Mckeever
A Review Of Situation Identification Techniques In Pervasive Computing, Juan Ye, Simon Dobson, Susan Mckeever
Articles
Pervasive systems must offer an open, extensible, and evolving portfolio of services which integrate sensor data from a diverse range of sources. The core challenge is to provide appropriate and consistent adaptive behaviours for these services in the face of huge volumes of sensor data exhibiting varying degrees of precision, accuracy and dynamism. Situation identification is an enabling technology that resolves noisy sensor data and abstracts it into higher-level concepts that are interesting to applications. We provide a comprehensive analysis of the nature and characteristics of situations, discuss the complexities of situation identification, and review the techniques that are most …
Sports Data Mining Technology Used In Basketball Outcome Prediction, Chenjie Cao
Sports Data Mining Technology Used In Basketball Outcome Prediction, Chenjie Cao
Dissertations
Driven by the increasing comprehensive data in sports datasets and data mining technique successfully used in different area, sports data mining technique emerges and enables us to find hidden knowledge to impact the sport industry. In many instances, predicting the outcomes of sporting events has always been a challenging and attractive work and is therefore drawing a wide concern to conduct research in this field. This project focuses on using machine learning algorithms to build a model for predicting the NBA game outcomes and the algorithms involve Simple Logistics Classifier, Artificial Neural Networks, SVM and Naïve Bayes. In order to …
Opinion Mining With The Sentwordnet Lexical Resource, Bruno Ohana
Opinion Mining With The Sentwordnet Lexical Resource, Bruno Ohana
Dissertations
Sentiment classification concerns the application of automatic methods for predicting the orientation of sentiment present on text documents. It is an important subject in opinion mining research, with applications on a number of areas including recommender and advertising systems, customer intelligence and information retrieval. SentiWordNet is a lexical resource of sentiment information for terms in the English language designed to assist in opinion mining tasks, where each term is associated with numerical scores for positive and negative sentiment information. A resource that makes term level sentiment information readily available could be of use in building more effective sentiment classification methods. …
Investigation Of The Visual Aspects Of Business Intelligence, Niall Cunningham
Investigation Of The Visual Aspects Of Business Intelligence, Niall Cunningham
Dissertations
As the need for Irish firms to move into knowledge economy increases knowledge management is being more important. Among its central aims is for knowledge creation and development to enhance knowledge and inspire innovations. One of the ways knowledge management achieves these aims is through the development of knowledge management tools for the firm. Among these tools is the option to use business intelligence to enhance knowledge in the firm by exposing hidden knowledge and building on it. In particular data mining has been highlighted as being effective within business intelligence and knowledge management in discovering hidden knowledge. This dissertation …