Among the many contributions made by information technologies to Bioinformatics, the techniques of intelligent data analysis combined with optimization techniques are the main application field nowadays. Many researches focused on DNA microarray field have proposed different approaches trying to obtain new undiscovered knowledge of diseases such cancer. All these researches can be represented a...

In the last years there has been a huge growth and consolidation of the Data Mining field. Some efforts are being done that seek the establishment of standards in the area. Included on these efforts there can be enumerated SEMMA and CRISP-DM. Both grow as industrial standards and define a set of sequential steps that pretends to guide the implementation of data mining applications. The question...

In this paper, an understanding and a review of data mining (DM) development and its applications in logistics and specifically transportation are highlighted. Even though data mining has been successful in becoming a major component of various business processes and applications, the benefits and real-world expectations are very important to consider. It is also surprising to note that very li...

Bagian terpenting dalam software quality adalah prediksi cacat software. Prediksi memanfaatkan pengukuran matriks pengujian untuk dilakukan klasifikasi yang dapat memperkirakan kualitas modul program, secara umum hasil dibagi menjadi dua kelas, yaitu rentan dan tidak cacat. Metode machine learning mempunyai kinerja lebih baik menemukan daripada metode manual. Algoritme pernah digunakan antara l...

To support manufacturing firms in realising the value of Artificial Intelligence (AI), we embarked on a six-year process research and practice to enhance popular widely used CRISP-DM methodology. We extend into continuous, active, iterative life-cycle AI solutions by adding phase ‘Operation Maintenance’ as well embedding task-based framework for linking tasks skills. Our key findings relate dif...

Big Data contains massive information, which are generating from heterogeneous, autonomous sources with distributed and anonymous platforms. Since, it raises extreme challenge to organizations to store and process these data. Conventional pathway of store and process is happening as collection of manual steps and it is consuming various resources. An automated real-time and online analytical pr...