CRISP-DM is the de-facto standard and an industry-independent process model for applying data mining projects. Twenty years after its release in 2000, we would like to provide a systematic literature review of recent studies published IEEE, ScienceDirect ACM about use cases CRISP-DM. We give overview research focus, current methodologies, best practices possible gaps conducting six phases The main findings are that still de-factor mining, but there challenges since most do not foresee...

One of the main challenges today’s society is need to fulfill at same time two sides dichotomy between growing energy demand and look after environment. Smart Grids are one answers: intelligent grids which retrieve data about environment through extensive sensor networks react accordingly optimize resource consumption. In order do this, understand existing relationship a set relevant climatic variables. All smart “systems” (buildings, cities, homes, consumers, etc.) have potential employ...

The most well-known social software applications are weblogs, wikis, networking sites and instant messaging. Social at a high level is described as the convergence of technologies that make it possible for individuals to easily communicate, share information, form new communities online. But big question today not what is, but rather means businesses. During fast growth media software, networks forcing companies increase activities in their traditional CRM systems. These popular websites...

Purpose The potential capabilities and benefits that learning analytics can provide are not fully utilized. A current stream of research suggests has more to offer for continuous improvement higher education institutions. This study aims explore the opportunities data stand challenges plays down its role, adoption usage in different areas Design/methodology/approach adopts a systematic literature review approach answering questions. critical role exploratory nature questions justify use...

The inclusion of usability heuristics into the metaverse is aimed at solving unique issues raised by virtual reality (VR), augmented (AR), and mixed (MR) environments. This research points out challenges user interfaces (UIs), such as information overloading, complex navigation, need for intuitive control mechanisms in these immersive spaces. By adapting existing models to suit context, this study presents a detailed list sub-heuristics that are designed improve overall UIs. These essential...

Artificial Intelligence (AI) technologies are promised to improve digital services and automate tasks. However, there still significant barriers ensuring that AI accessible usable by a broad range of users. As solutions proliferate across mainstream systems applications, design-based approaches explicitly bring in inclusive human-centric values have become critical. This paper provides concerted look at user-centered design the intersection AI, accessibility, usability, proposing framework...

Current work presents new approach for designing business intelligence solutions. In the era of big data, former and robust analytical concepts utilities needs to adopt themselves changed market circumstances. Main focus is address acceleration building process a "data-centric" solution on one side, also prepare solutions data utilization. Research addressing following goals: (a) reduce time spent during phase; (b) achieve flexibility by removing problems with adding sources; (c) utilization...

New challenges in internal auditing are created as all areas of companies digitalized. These forcing to implement more and data-driven procedures. Auditing is increasingly using artificial intelligence methods such neural networks overcome these challenges. Since labels usually not available at the beginning an audit engagement, unsupervised have be used. We used autoencoders method, which we evaluated for its use a practical case study with international automobile manufacturer. For study,...

The importance of data is increasing along its inflation in our world today. In the big era, becoming a main source for innovation, knowledge and insight, as well competitive financial advantage race information procurement. This interest acquiring exploiting data, addition to existing concerns regarding privacy security information, raises question who should own how ownership can be preserved. paper discusses analyses concept provides an overview on subject from different point views. It...

Modern vehicles produce big data with a wide variety of formats due to missing open standards. Thus, abstractions such in the form descriptive labels are desired facilitate development applications automotive domain. We propose an approach reduce vehicle sensor into semantic outcomes dangerous driving events based on aggressive maneuvers. The supervised time-series classification is implemented Random Forest and Recurrent Neural Network separately. Our works signals real obtained through...

Augmented Reality (AR) will be the next great wave of human-oriented computing, dominating our relationship with digital world for 50 years, much as personal computing has dominated last [1]. AR glasses require multiple cameras to enable all computer vision (CV) and AI functions while operating under stringent weight, power, socially acceptable form-factor constraints. The sensors need small, ultra-low wide dynamic range (DR) excellent low-light sensitivity support day/night, indoor/outdoor,...

An IT service design process is considered to be a fundamental piece of the seven key international Service Management (ITSM) processes frameworks (ITIL v2, ITIL v3 (and v2011), ISO 20000-4, CobIT 4.0, CMMI-SVC, MOF and ITUP). Nevertheless availability processes, few –if any- descriptive-comparative studies among them have been reported. Thus, in this paper (Part I), we address knowledge gap. extensive review aforementioned Fundamental concepts (viz., as noun, verb, service, system,...

Vehicle software architectures have been evolving over the last twenty years to support data-driven functionalities. Several enterprises from different domains are currently focusing on improving their data by re-defining underlying models enable core for analytics and artificial intelligence. Moreover, a common desire add clear provenance explicit context impulses field of semantics knowledge graphs. Nevertheless, in automotive industry, scenario connected vehicles implies extra complexity....

Augmented Reality/Virtual Reality (AR/VR) glasses are widely foreseen as the next generation computing platform. AR/VR a complex "system of systems" which must satisfy stringent form factor, computing-, power- and thermal- requirements. In this paper, we will show that novel distributed on-sensor compute architecture, coupled with new semiconductor technologies (such dense 3D-IC interconnects Spin-Transfer Torque Magneto Random Access Memory, STT-MRAM) and, most importantly, full...

In this paper, the domain of Federated Enterprise Resource Planning (FERP) systems is described. FERP consist several service-oriented that implement (ERP) functionality in a distributed manner. Within context, paper focuses on challenges and requirements arise when updating changing their orchestration. This describes similarities to change management issues conventional ERP it emerging appear dealing with system. Moreover, introduces possible solutions order ease process changes.