A5056303178- Big Data and Business Intelligence
- Cloud Computing and Resource Management
- IoT and Edge/Fog Computing
- Competency Development and Evaluation
- Anomaly Detection Techniques and Applications
- Network Security and Intrusion Detection
- Blockchain Technology Applications and Security
- Biomedical and Engineering Education
- Digital Transformation in Industry
- Data Stream Mining Techniques
- Time Series Analysis and Forecasting
- Natural Language Processing Techniques
- Energy Efficient Wireless Sensor Networks
- Innovation and Knowledge Management
- Higher Education Learning Practices
- Sentiment Analysis and Opinion Mining
- Neural Networks and Applications
- Internet Traffic Analysis and Secure E-voting
- Data Mining Algorithms and Applications
- Topic Modeling
- Scientific Computing and Data Management
- Molecular Communication and Nanonetworks
- Spam and Phishing Detection
- Artificial Immune Systems Applications
- Social Media and Politics
Institute for Advanced Studies in Basic Sciences
2019-2024
University of Siegen
2011-2020
In today’s competitive business world, being aware of customer needs and market-oriented production is a key success factor for industries. To this aim, the use efficient analytical algorithms ensures better understanding feedback improves next generation products. Accordingly, dramatic increase in social media daily life provides beneficial sources market analytics. Yet how traditional analytic methods can be scaled up such disparate multistructured data major challenge. This paper presents...
Although fog computing is a new research topic, there are robust and integrated solutions for service activation management how to distribute IoT services over available resources. This paper presents multi-objective gray wolf optimization (GWO) solution more efficient scheduling management. utilizes function in the resource allocation process by developing improving proposed algorithm check status of resources manage tasks. The main purpose this study create trade-off between energy...
The pivotal key for the success of manufacturing enterprises is sustainable and innovative product design development. In collaborative design, stakeholders are heterogeneously distributed chain-like. Due to growing volume data knowledge, an effective management knowledge acquired in development one challenges facing most enterprises. Opportunities improving efficiency performance IT-based applications through centralization resources such as computation have increased last few years with...
The amount of data in the world is expanding rapidly. Every day, huge amounts are created by scientific experiments, companies, and end users' activities. These large sets have been labeled as "Big Data", their storage, processing analysis presents a plethora new challenges to computer science researchers IT professionals. In addition efficient management, additional complexity arises from dealing with semi-structured or unstructured data, time critical requirements. order understand these...
In today's information technology (IT) era, a major part of the costs is being spent on computational needs. Enterprises are in efforts to increase their Return Investment (ROI) and individuals trying reduce costs. this regard, cloud computing which emerges as fifth utility can enhance performance IT solutions. A large number companies institutions dealing with related issues provider or user. Due fact that services have been proposed recent years, organizations face various challenges...
An efficient assessment of human resource competences, followed by the goal oriented analysis results, support identification competence gaps in organizations and allocation resources towards identified gaps. This paper presents basic idea as well scientific implementation results ComProFITS project an innovative web-based platform for evaluation existing employees recruitment new organizations. The integrates research on statistical pyramid many alternative methods employee recruitment....
Outlier detection has received special attention in various fields, mainly for those dealing with machine learning and artificial intelligence. As strong outliers, anomalies are divided into point, contextual collective outliers. The most important challenges outlier include the thin boundary between remote points natural area, tendency of new data noise to mimic real data, unlabeled datasets different definitions outliers applications. Considering stated challenges, we defined types called...
Internet of things network lifetime and energy issues are some the most important challenges in today's smart world. Clustering would be an effective solution to this, as all nodes arranged into virtual clusters, while one node will serve cluster head. The right selection head reduce consumption dramatically. This concept is more crucial for internet things, which being widely distributed environments such forests or agriculture sector. In this paper, Energy Efficient Minimum Spanning Tree...
An efficient and adaptive centralization of disparate knowledge sources is a key factor for the success management systems (KMS) in distributed heterogeneous enterprises such as healthcare production with large scale sources. Professional end users (e.g. physicians engineers) should have nearly real-time access to records provide relevant decisions without any difficulty dealing IT systems. Analysis reasoning professional users' feedback lead helpful bases which can be used future decision...
Managers of enterprises concern with a major challenge for optimal management human resources based on availability domain experts and highly qualified personnel. The process allocating right people to the positions in time is key success. To achieve this goal, managers need deploy evaluation tools integrated gap analysis method. This paper presents concept implementation details an in-house developed software tool competence specific competencies selection professionals. A generic...
It is a considerable task to collect digital trace data at large scale and the same time adhere established academic standards. In context of political communication, important challenges are (1) defining social media accounts posts relevant campaign (content validity), (2) operationalizing venues where activity takes place (construct (3) capturing all (reliability), (4) sharing as much possible for reuse replication (objectivity). This project by GESIS - Leibniz Institute Social Sciences...
Enterprises and industrial companies strive to improve their functional performance by identification of core competencies in order utilize human resources optimise the knowledge integration processes company. In addition, maintenance operations are one most important sections which consist key personnel also explicit implicit that have direct effects on product quality return investment. context resources, principal objective is firstly identify holders who mainly domain experts (e.g. Chief...