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检索条件"丛书名=Lecture Notes in Business Information Processing 256"

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Hybrid Evolutionary Approach to Team Building using PROMETHEE II 24th

Hybrid Evolutionary Approach to Team Building using PROMETHE...

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24th International Conference on Group Decision and Negotiation (GDN)

作者： Stavrou, Georgios Adamidis, Panagiotis Papathanasiou, Jason Tarabanis, Konstantinos Univ Macedonia Dept Informat & Elect Engn Thessaloniki 57400 Greece Int Hellen Univ Egnatias 156 Thessaloniki 54636 Greece Univ Macedonia Egnatias 156 Thessaloniki 54636 Greece

ISBN: (纸本)9783031593727;9783031593734

Multi-Criteria Decision Making (MCDM) methods, such as PROMETHEE II, play a crucial role in complex decision-making scenarios, including team formation. However, they face scalability challenges as the number of criteria and options increases. This paper introduces a novel Hybrid Evolutionary Algorithm integrated with PROMETHEE II, specifically designed for team formation. This hybrid approach combines the exploration power of evolutionary algorithms and the decision-making capabilities of PROMETHEE II, aiming to improve both performance and scalability in decision-making processes. Initial experiments demonstrate significant improvements in both solution quality and scalability compared to existing methods facing similar challenges. This research enables the creation of more efficient and effective team formation in complex decision-making scenarios.

关键词： Multi-Criteria Decision Making Team Formation Evolutionary Algorithms PROMETHEE II Algorithmic Efficiency Computational Optimization Team Composition Analysis Decision Support Systems

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High-Performance Confidentiality-Preserving Blockchain via GPU-Accelerated Fully Homomorphic Encryption 1

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36th International Conference on Advanced information Systems Engineering (CAiSE)

作者： Guan, Rongxin Shen, Tianxiang Wang, Sen Zhang, Gong Cui, Heming Qi, Ji Univ Hong Kong Hong Kong Peoples R China Chinese Acad Sci Inst Software Beijing Peoples R China Shanghai AI Lab Shanghai Peoples R China Huawei Technol Hong Kong Peoples R China

ISBN: (数字)9783031610035

ISBN: (纸本)9783031610028;9783031610035

Data confidentiality is essential for safety-critical blockchain applications such as digital payment. A promising approach for preserving confidentiality is to encrypt transaction data using homomorphic encryption (HE) and prove the correctness of transaction execution through non-interactive zero-knowledge proofs (NIZKPs). However, prior work on this approach suffers from poor performance caused by the costly HE computation, hindering their adoption for real-world applications. In addition, prior work is restricted by the use of HE schemes that only support either addition or multiplication, making it challenging to implement business logic involving both types of arithmetic operations. We present Gafe, a high-performance confidentiality-preserving blockchain that carries a GPU-accelerated transaction execution workflow. Gafe encrypts transaction data with FHE, allowing both addition and multiplication on ciphertexts. For high performance, Gafe leverages parallel execution on GPUs to accelerate FHE computations. For result correctness, Gafe generates lightweight NIZKPs that incur low overhead. Evaluations show that Gafe is highly performant, achieving a 3.1x increase in throughput (258 transactions per second) and a 37% reduction in latency (1.61 s), surpassing the baseline without GPU acceleration.(Gafe stands for GPU-Accelerated Fully Homomorphic Encryption Blockchain.)

关键词： Blockchain Confidentiality Preserving GPU Acceleration Fully Homomorphic Encryption

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Evaluating the Success of Digital Transformation Strategy in Greek SMEs 20th

Evaluating the Success of Digital Transformation Strategy in...

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20th European, Mediterranean, and Middle Eastern Conference (EMCIS)

作者： Kamariotou, Maria Kitsios, Fotis Univ Macedonia Dept Appl Informat Thessaloniki Greece

ISBN: (纸本)9783031564802;9783031564819

Prior studies have neglected the significance of IS strategy in choosing and implementing the suitable IS according to situation, instead concentrating on the impact of digital transformation methods on performance and crucial elements that influence IS adoption. The use of strategy-as-practice is useless because there are no formal procedures in place, and no strategic planning has been done. This makes it impossible for management to use IS planning to gain a sustainable competitive advantage. In this study, we look at how the performance of IS is impacted by strategic processes and practices. The survey's participants were 294 information technology managers from Greek SMEs. The results of the study suggest that top-level management should receive training on how to strategically apply IS planning to strengthen competitive advantage. In order to align the organization's strategy and structure, it is also the manager's duty to select the proper IT infrastructure. The findings aid managers in setting priorities for logistical tasks and in comprehending the importance of IS planning in this area.

关键词： information Systems strategizing Success SMEs Digital transformation Strategy-as-practice

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The Current State of Operationalizing Value by Dutch Product Owners in Agile Software Development 25th

The Current State of Operationalizing Value by Dutch Product...

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25th International Conference on Agile Software Development (XP)

作者： van Daalen, Erik van Solingen, Rini KWD Resultaatmanagement Edisonbaan 15 NL-3439 MN Nieuwegein Netherlands Delft Univ Technol Mourik Broekmanweg 6 NL-2628 XE Delft Netherlands

ISBN: (纸本)9783031611537;9783031611544

Agile software development (ASD) teams show their relevance through the continuous delivery of valuable software. As part of ASD, product owners have an important role in four activities: determining most valuable backlog items, refining them, and in validating and measuring business value. In this research we investigate how product owners operationalize business value delivery in these activities. We conducted 38 semi-structured in-depth interviews with product owners in the Netherlands. Overall we found that 55% operationalize value using only two of the four activities, and that 11% apply all four activities. We furthermore found that only 26.5% of these product owners use a structured prioritization method, 47% prioritize based on individual preferences and gut feeling, and 26.5% do not use any prioritization approach at all. We found five different approaches to refinement. The majority (84%) of the product owners state that they validate business value delivery, while just 24% actually measure business value. Overall we conclude that there are opportunities to bring product ownership to a higher level on operationalizing business value delivery, and that there is a clear need in practice for better structure and guidance in operationalizing business value delivery to do so.

关键词： Operationalizing business value delivery prioritization product backlog agile software development refining business value validating business value measuring business value product owner (PO) agile practices

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Identifying Variation in Personal Daily Routine Through Process Mining: A Case Study 5th

Identifying Variation in Personal Daily Routine Through Proc...

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5th International Conference on Process Mining (ICPM)

作者： Di Federico, Gemma Fernandez-Llatas, Carlos Ahmadi, Zahra Shirali, Mohsen Burattin, Andrea Tech Univ Denmark Lyngby Denmark Univ Politecn Valencia Valencia Spain Katholieke Univ Leuven LIRIS Brussels Belgium Shahid Beheshti Univ Tehran Iran

ISBN: (纸本)9783031561061;9783031561078

The study of daily routines has gained substantial attention, especially in healthcare. Understanding the activities and behaviors of individuals, particularly older adults, has the potential to play a crucial role in providing effective care and support, for example, when it comes to spotting deviations from it automatically. Process mining is a valuable tool for analyzing routine dynamics and identifying variations. However, human behavior is unstructured and characterized by variability, making it difficult to derive a process model representing only the control flow. In this paper, we employ a multi-dimensional process discovery and conformance checking methodology to a real-world dataset representing a person's behavior in a smart environment. The derived model combines control flow and statistics on the data. The results, on the real-world data, highlight that the approach can identify variations in the inhabitant's behavior.

关键词： Data mining

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Efficient Topic Detection Using an Adaptive Neural Network Architecture 6th

Efficient Topic Detection Using an Adaptive Neural Network A...

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6th International Conference on information and Knowledge Systems (ICIKS)

作者： Manai, Meriem Ben Yahia, Sadok Univ Tunis El Manar LIPAH LR11ES14 Fac Sci Tunis Tunis 2092 Tunisia Tallinn Univ Technol Dept Software Sci Akad tee 15a Tallinn Estonia

ISBN: (纸本)9783031516634;9783031516641

Topic detection is the process of identifying the underlying themes or topics present in a set of documents. It has become more critical due to the increase of information electronically available and the necessity to process and filter it. In this respect, we introduce a new approach to detecting topics called ClusART. Thus, we created a three-phase approach: a first phase during which lexical preprocessing was conducted. The second phase pays heed to the construction and the generation of vectors representing the documents carried out. In the topic detection phase, the FuzzyART algorithm is used for the training phase, and a classifier based on Paragraph Vector is used for the test phase. The comparative study of our approach on the 20 Newsgroups dataset showed that our method could detect almost relevant topics.

关键词： Topic detection Text clustering FuzzyART PragraphVector classifier

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Designing a User Contextual Profile Ontology: A Focus on the Vehicle Sales Domain 6th

Designing a User Contextual Profile Ontology: A Focus on the...

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6th International Conference on information and Knowledge Systems (ICIKS)

作者： Ngoc Luyen Le Abel, Marie-Helene Gouspillou, Philippe Univ Technol Compiegne CNRS Heudiasyc Heurist & Diag Complex Syst CS 60319 F-60203 Compiegne France Vivocaz 8 B Rue Gare F-02200 Mercin Et Vaux France

ISBN: (纸本)9783031516634;9783031516641

In the digital age, it is crucial to understand and tailor experiences for users interacting with systems and applications. This requires the creation of user contextual profiles that combine user profiles with contextual information. However, there is a lack of research on the integration of contextual information with different user profiles. This study aims to address this gap by designing a user contextual profile ontology that considers both user profiles and contextual information on each profile. Specifically, we present a design and development of the user contextual profile ontology with a focus on the vehicle sales domain. Our designed ontology serves as a structural foundation for standardizing the representation of user profiles and contextual information, enhancing the system's ability to capture user preferences and contextual information of the user accurately. Moreover, we illustrate a case study using the User Contextual Profile Ontology in generating personalized recommendations for vehicle sales domain.

关键词： Ontology User Modeling Knowledge base Contextual Profile

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Knowledge Graph for Reusing Research Knowledge on Related Work in Data Analytics 1

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36th International Conference on Advanced information Systems Engineering (CAiSE)

作者： Kumarasinghe, Aritha Kirikova, Marite Riga Tech Univ Inst Appl Comp Syst 6A Kipsalas St LV-1048 Riga Latvia

ISBN: (数字)9783031610035

ISBN: (纸本)9783031610028;9783031610035

Data analytics projects encompass a multitude of facets, including the types of analytics employed, algorithms utilized, and data sources scrutinized. Despite this wealth of information, there remains a challenge in effectively leveraging previous related work for future projects. Traditional approaches often lack mechanisms for preserving and repurposing the knowledge gained from the analysis of related works. In response, this paper introduces a novel method leveraging RDF triples to encapsulate attributes of analytics projects. These RDF triples are then integrated into a web-based knowledge graph, facilitating the exploration of related work within specific data analytics domains. By harnessing this method, researchers and practitioners can identify valuable resources, including data sources, tools, and algorithms, for future endeavors. To demonstrate its efficacy, we apply this method to the domain of real estate analytics, showcasing its potential to enhance project efficiency and innovation.

关键词： Knowledge Reuse Analytics Knowledge Graphs

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Understanding Supply Chain Resilience as a Multi-level Framework: A Systematic Literature Review 10th

Understanding Supply Chain Resilience as a Multi-level Frame...

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10th International Conference on Decision Support Systems Technologies (ICDSST)

作者： Zhao, Guoqing Zhao, Guoyu Zubairu, Nasiru Chen, Xiaoning Olan, Femi Dennehy, Denis Jones, Paul Swansea Univ Sch Management Swansea Wales Henan Univ Technol Sch Management Zhengzhou Peoples R China Muscat Univ Fac Transport & Logist Muscat Oman Univ Plymouth Plymouth Business Sch Plymouth England Univ Essex Essex Business Sch Colchester England

ISBN: (纸本)9783031593758;9783031593765

Supply chain resilience (SCRes) has received considerable attention from scholars and practitioners because organizations and supply chains are facing increasing disasters, uncertainties, and risks. They seek to survive disruptions and return to their original or a better state, and thereby achieve competitive advantage. However, existing studies investigate SCRes mainly from organizational and supply chain perspectives, which limits scholars' and practitioners' understanding and presents an incomplete picture of SCRes. Therefore, we conducted a systematic literature review (SLR) to advance SCRes knowledge through the theoretical lens of grand theory (GT). A total of 102 SCRes relevant, high-quality journal papers published between 2004 and 2023 were selected to synthesize existing knowledge and identify future research directions. Our study makes several novel contributions to existing SCRes knowledge. First, we believe that SCRes is determined by interactions between micro-level individuals, meso-level organizations, and macro-level environments. Thus, this study differs from existing SCRes studies by understanding it from the individual, organizational, and supply chain perspectives. Second, from the macro-level perspective, we conclude that SCRes is influenced by social, economic, technological, policy, and cultural environments. Third, from the micro-level perspective, employees' learning orientation, risk perceptions, self-leadership, and trust may impact on organizational resilience and SCRes. Finally, this study is one of first to apply GT to extend existing SCRes knowledge. We also suggest future research directions advancing SCRes knowledge.

关键词： Supply chain resilience micro-level individuals meso-level organizations macro-level environments systematic literature review grand theory

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Incorporating Behavioral Recommendations Mined from Event Logs into AI Planning 1

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36th International Conference on Advanced information Systems Engineering (CAiSE)

作者： Park, Gyunam Rafiei, Majid Helal, Hayyan Lakemeyer, Gerhard van der Aalst, Wil M. P. Rhein Westfal TH Aachen Proc & Data Sci Grp Aachen Germany Rhein Westfal TH Aachen Knowledge Based Syst Grp Aachen Germany

ISBN: (数字)9783031610004

ISBN: (纸本)9783031609992;9783031610004

AI planning plays a crucial role in the design and optimization of business processes, providing optimal plans, i.e., sequence of activities, based on manually crafted or formally documented rules. When these plans are executed in business processes, the supporting information systems record a wealth of event data. Analyzing such event data facilitates understanding implicit patterns and recommendations that have the potential to refine planning strategies significantly. In this paper, we introduce a systematic approach to mining these recommendations from event data and integrating them into AI planning, thus creating plans that are informed by both the regulatory hard rules and the flexibility of soft recommendations.

关键词： AI Planning Automated Planning Process Mining Behavioral Recommendations

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