An improved artificial dendrite cell algorithm for abnormal signal detection

In dendrite cell algorithm (DCA), the abnormality of a data point is determined by comparing the multi-context antigen value (MCAV) with anomaly threshold. The limitation of the existing threshold is that the value needs to be determined before mining based on previous information and the existing MCAV is inefficient when exposed to extreme values. This causes the DCA fails to detect new data points if the pattern has distinct behavior from previous information and affects detection accuracy. This paper proposed an improved anomaly threshold solution for DCA using the statistical cumulative sum (CUSUM) with the aim to improve its detection capability. In the proposed approach, the MCAV were normalized with upper CUSUM and the new anomaly threshold was calculated during run time by considering the acceptance value and min MCAV. From the experiments towards 12 benchmark and two outbreak datasets, the improved DCA is proven to have a better detection result than its previous version in terms of sensitivity, specificity, false detection rate and accuracy

Indicator selection based on Rough Set Theory

A method for indicator selection is proposed in this paper.The method, which adopts the General Methodology and Design Research approach, consists of four steps: Problem Identification, Requirement Gathering, Indicator Extraction, and Evaluation. Rough Set approach also has been applied in the Indicator Extraction phase.This phase consists of 5 steps: Data selection, Data Preprocessing, Discretization, Split Data, Reduction, and Classification.A dataset of 427 records have been used for experimentation.The datasets which contains financial information from several companies consists of 30 dependant indicators and one independent indicator.The selection of indicators is based on rough set theory where sets of reducts are computed from a dataset.Based on the sets of reducts, indicators have been ranked and selected based on certain set of criteria.Indicators have been ranked through computation of frequencies in reduct sets.The major contribution of this work is the extraction method for identifying reduced indicators.Results obtained have shown competitive accuracies in classifying new cases, thus showing that the quality of knowledge is maintained through the use of a reduced set of indicators

Using strategy mapping and cause-and-effect relationship for measuring ITSP implementation.

The Information Technology Strategic Planning (ITSP) was developed to lead and reflect the organizational achievement and future aspiration. The plan basically includes the information technology (IT) goals and strategies for the next few years. The intention was to justify IT contributions towards the efficiency, effectiveness and competitiveness. The plan may comprise of associated IT projects to achieve the planning strategies. Previous study has concluded that most of the plans are usually hard to manage due to various projects involved. Therefore, many performance measurement models and frameworks have been investigated and exploited to address the problem. Measuring ITSP implementation is important to justify the achievement of the planned projects. The focus of this paper is describing the application of the strategy mapping and cause and- effect relationship approach on measuring the achievement of the strategies and projects involved in the ITSP. This paper also report on the testing results of the related approach on the real case study to identify its applicability and measurability

The success factors and barriers of information technology implementation in small and medium enterprises: an empirical study in Malaysia

The use of information technology (IT) among entrepreneurs is one of the critical aspects as the usage of IT effectively and efficiently will enable to increase productivity and performance in small and medium enterprises (SMEs). Previous reports revealed that SMEs in Malaysia have many concerns about the durability, competitiveness and efficiency due to problems associated such as financial, lack of information and knowledge, capability and capacity. This research is derived based on the issues related to IT implementation in SMEs in Malaysia. It determines the problems and issues related to the implementation, and identify factors for the successful implementation of IT in SMEs. The research approach includes the usage of questionnaires, interviews and case studies. Literature study identified ten critical success factors that include the management, staff, IT planning, financial, consultants, vendors, organisational culture, relationship management and change, and perception. This paper presents the success factors and the barrier of IT implementation based on the empirical study

A case study of software process assessment and certification (SPAC) model implementation

This paper reports the implementation of Software Process Assessment and Certification (SPAC) model.In year 2006, the model has been validated in three software organizations for its practicality in the real world. Recently in year 2011, the SPAC model has been implemented again in one of the organizations participated in year 2006.This paper discusses the outcome from the current study and compares it with the previous study. It reveals that after five years, the level of certification decreases from LEVEL IV to LEVEL II.This is because the best practices of software development are being neglected. Thus, we conclude that continuous software certification is certainly needed in order to know the current status of soft ware development process and help the organization to plan and monitor their continuous improvement of software quality

Software certification implementation: Case studies analysis and findings

Continuous improvement in software quality is an essential concern in software industry. One way to guarantee this continuous improvement is through imposing certification environment. Current studies show that certification of software products are feasible and demonstrate the practicality of the implementation in real situation. Two main models were developed based on end product and process development approach of certification. These models have been tested in three real case studies involving three large organizations in Malaysia. The result of the studies shows that the proposed models and underlying attributes and metrics are appropriate to be gathered and collected during assessment and certification exercises. By having a successful applicable of the case studies show that the models are feasible and practical in the real world environment. Favourable evaluations from the organisations via the software owners enrich the validity and integrity of the model. This paper focuses on implementation of certification model by end product quality approach

The development of pragmatic quality model for software product certification process

The emergence of Multimedia Super Corridor (MSC) in Malaysia in 1996 was the starting point for the blooming of software and ICT related companies. Despite that, not much attention was given to the quality of the software product that was being developed by different categories of companies. These companies could not justify the quality of their products to the users and the users are left with uncertainties on the quality of the software. Our previous survey identified the need for independent software assessment and certification. Therefore, we propose a conceptual model of software certification process by product quality approach. It is designed to be applied by an independent certification body or any appointed institution. The main focus of this paper is the development of pragmatic quality model that will be applied in the certification process

Normalization of common noisy terms in Malaysian online media

This paper proposes a normalization technique of noisy terms that occur in Malaysian micro-texts.Noisy terms are common in online messages and influence the results of activities such as text classification and information retrieval.Even though many researchers have study methods to solve this problem, few had looked into the problems using a language other than English. In this study, about 5000 noisy texts were extracted from 15000 documents that were created by the Malaysian.Normalization process was executed using specific translation rules as part or preprocessing steps in opinion mining of movie reviews.The result shows up to 5% improvement in accuracy values of opinion mining