There are data mining methodologies for business intelligence (DM-BI) projects that highlight the importance of planning an ordered, documented, consistent and traceable requirement’s elicitation throughout the entire project. However, the classical software engineering approach is not completely suitable for DM-BI projects because it neglects the requirements specification aspects of proj...

In Today’s quality- based competitive world, known as knowledge age, customer attraction is of ultimate importance. In respect to the slogan “customer is always right”, customer relation management is the core of an organizational strategy playing an important role in four aspects of customer identification, customer attraction, customer retaining, and customer satisfaction. Commercial organiza...

The information systems management sets the attention to the importance of data and above all the activities of selection to individualise this data. The decisive lines to the aforesaid problem can be individualised in the activities of Data Mining (DM). DM procedures can be implemented through different techniques and formalities. Among all, the most properly employed in the solution of busine...

Capacity planning in the regeneration of complex capital goods faces major challenges because it is affected by a high level of uncertain workload information. A methodology is developed here to predict the regeneration workload on the basis of the CRISP-DM model using Bayesian networks. The forecasts are validated for the different capacity planning levels. The results support the conclusion t...

This chapter describes a principled approach to meta-learning that has three distinctive features. First, whereas most previous work on meta-learning focused exclusively on the learning task, our approach applies meta-learning to the full knowledge discovery process and is thus more aptly referred to as meta-mining. Second, traditional meta-learning regards learning algorithms as black boxes an...

The research study intends to understand the thematic dynamics of internet things (IoT), thereby aiming address general objective i.e. “To explore and streamline IoT with a focus on cross-cutting data mining, apps evidence-based publication trends”. To meet this objective, secondary has been compiled as part analytic process. It was found from that continues evolve significant degrees prolifera...

Data siswa merupakan database yang sangat penting karena data ini dapat digunakan untuk menganalisis prestasi akademik siswa, seperti halnya indeks siswa. Di Fakultas Teknik dan Sains Universitas Muhammadiyah Bangka Belitung terdiri dari program studi Ilmu Komputer, Sipil Konservasi Sumber Daya Alam memiliki mahasiswa. tersebut analisis. Pada diterapkan metode mining klasifikasi dengan Algoritm...

Realisation of the fact that stored masses of data contain more information than what is obvious has led to a great interest in the field of Database Mining in the last couple of years. While hardware requirements for storage of these masses of data have advanced rapidly with the demand as have software methodologies for storage, manipulation and reporting of the data, little progress has been ...

In today's world, most financial transactions are carried out using done through electronic instruments and in the context of the Information Technology and Internet. Disregarding the application of new technologies at this field and sufficing to traditional ways, will result in financial loss and customer dissatisfaction. The aim of the present study is surveying and analyzing the use of elect...

Applying data mining (DM) in education is an emerging interdisciplinary research field also known as educational data mining (EDM). It is concerned with developing methods for exploring the unique types of data that come from educational environments. Its goal is to better understand how students learn and identify the settings in which they learn to improve educational outcomes and to gain ins...