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检索条件"丛书名=Lecture Notes in Business Information Processing 252"

共 8646 条记录，以下是101-110 订阅

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Unlocking Viewer Insights in Linear Television: A Machine Learning Approach 23rd

Unlocking Viewer Insights in Linear Television: A Machine Le...

引用

23rd International Conference on Perspectives in business Informatics Research (BIR)

作者： Carreno, Javier Khuong An Nguyen Luo, Zhiyuan Fish, Andrew Royal Holloway Univ London Egham TW20 0EX Surrey England Univ Liverpool Liverpool L69 3BX Merseyside England

ISBN: (纸本)9783031713323;9783031713330

Amidst the digital transformation, traditional linear TV faces major challenges, including fragmented viewership, fixed schedule, and inaccurate targeting. Therefore, this paper proposes a novel Machine Learning framework to understand the audience's demographics from their viewing behaviour. By employing state-of-the-art classification models on an extensive TV first-party dataset, we achieved an average 88.6% accuracy in correctly identifying each household demographics. Our result offers promising outcomes for refining strategies within linear TV to improve viewer engagement, content programming, and market insights.

关键词： Audience Insights Machine Learning Household Classification

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A Survey on Perceptions of Data Sharing in the Norwegian Public Sector 14th

A Survey on Perceptions of Data Sharing in the Norwegian Pub...

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14th International Conference on Software business (ICSOB)

作者： Knutsen, Leif Z. Ngereja, Bertha Bjaaland, Ingebjorg Flaata Hannay, Jo E. Tanilkan, Sinan S. Simula Metropolitan Ctr Digital Engn Pb 4 St Olavs Plass N-0130 Oslo Norway Norwegian Comp Ctr Pb 114 Blindern N-0314 Oslo Norway

ISBN: (纸本)9783031532269;9783031532276

Sharing data among public institutions is essential for reaping the benefits of data-driven capabilities. Literature to date has identified several types of benefits that are likely to accrue to a wide range of sectors, as well as challenges and obstacles to implementing data-sharing solutions. We sought to identify perceptions of possible benefits, likely challenges, and the likelihood of overcoming them in the Norwegian public sector. Our survey of IT practitioners interested in the subject suggests that optimism about data sharing is high, concerns about a wide range of challenges are also high, and confidence in public institutions is tenuous. Responses also suggest that divisional management may be critical in implementing data sharing solutions. The pattern of responses suggests uncertainty consistent with low maturity in the field. We posit that data sharing among public institutions is part of a broader set of capabilities needed for public service innovation across institutions.

关键词： Data Sharing Public Sector Survey Digitalization

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From Digital Tracks to Digital Twins: On the Path to Cross-Platform Profile Linking

From Digital Tracks to Digital Twins: On the Path to Cross-P...

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Enterprise Design, Operations, and Computing (EDOC) Forum / IDAMS Workshop / SoEA4EE Workshop / IRESEARCH Workshop / MIDas4CS Workshop

作者： Schultenkaemper, Sergej Baeumer, Frederik S. Bellgrau, Benjamin Lee, Yeong Su Geierhos, Michaela Bielefeld Univ Appl Sci & Arts Bielefeld Germany Univ Bundeswehr Munich Res Inst CODE Neubiberg Germany

ISBN: (纸本)9783031547119;9783031547126

In recent years, many studies have focused on correlating the profiles of real users across different social media. On the one hand, this provides a better overview of the user's social behavior;on the other hand, it can be used to warn of possible abuse through identity theft or cyberbullying. We try to make the threat on the Web predictable for the individual user by creating digital twins. To do this, it is important to use different data sources and to merge overlapping data across platforms. In this paper, we show that YouTube is a suitable entry point into the online social network for making connections between platforms, tracking user activity across platforms, and finally merging the collected profile information into an overall picture, the digital twin.

关键词： Profile Matching Identity Linkage Social Media

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ProtoNER: Few Shot Incremental Learning for Named Entity Recognition Using Prototypical Networks

ProtoNER: Few Shot Incremental Learning for Named Entity Rec...

引用

21st International Conference on business Process Management (BPM)

作者： Kumar, Ritesh Goyal, Saurabh Verma, Ashish Isahagian, Vatche IBM Res Cambridge MA 02142 USA

ISBN: (纸本)9783031509735;9783031509742

Key value pair (KVP) extraction or Named Entity Recognition (NER) from visually rich documents has been an active area of research in document understanding and data extraction domain. Several transformer based models such as LayoutLMv2 [1], LayoutLMv3 [2], and LiLT [3] have emerged achieving state of the art results. However, addition of even a single new class to the existing model requires (a) re-annotation of entire training dataset to include this new class and (b) retraining the model again. Both of these issues really slow down the deployment of updated model. We present ProtoNER: Prototypical Network based end-to-end KVP extraction model that allows addition of new classes to an existing model while requiring minimal number of newly annotated training samples. The key contributions of our model are: (1) No dependency on dataset used for initial training of the model, which alleviates the need to retain original training dataset for longer duration as well as data re-annotation which is very time consuming task, (2) No intermediate synthetic data generation which tends to add noise and results in model's performance degradation, and (3) Hybrid loss function which allows model to retain knowledge about older classes as well as learn about newly added classes. Experimental results show that ProtoNER finetuned with just 30 samples is able to achieve similar results for the newly added classes as that of regular model finetuned with 2600 samples.

关键词： business Document information Extraction Few Shot Class Incremental Learning (FSCIL) Named Entity Recognition (NER) Key Value Pair Extraction (KVP) Token Classification Prototypical Networks

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Paving theWay for the Low-/No-Code Development of Digital Therapeutics: The DTxTAPP Framework

Paving theWay for the Low-/No-Code Development of Digital Th...

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Enterprise Design, Operations, and Computing (EDOC) Forum / IDAMS Workshop / SoEA4EE Workshop / IRESEARCH Workshop / MIDas4CS Workshop

作者： Weimann, Thure Georg Tech Univ Dresden Res Grp Digital Hlth Dresden Germany

ISBN: (纸本)9783031547119;9783031547126

Digital Therapeutics (DTx) are considered primarily patient-facing software applications that promise personalized behavioral treatments whenever and where needed. In recent years, the DTx market has seen strong growth due to reforms promoting the digital transformation of national healthcare systems, leading to competitive pressure among vendors and shorter times to market. To accelerate the development of DTx and deal with their complexity, so-called low/no-code platforms that build on the ideas of model-driven engineering havemoved into the focus of research and practice. However, research regarding the generic development ofDTxis still in its infancy, and prior contributions mainly focused on specific modeling and development aspects. Following a design science research approach, a synergized framework is derived based on previous conceptualizations to provide a holistic view on DTx intervention modeling. The proposed framework describes how the intervention workflow modeling can be systematically structured, may help to organize existing intervention knowledge, and provides the foundation for a technical instantiation. After demonstrating the framework, implications for future research and practice are discussed.

关键词： Digital health Intervention modeling Low-code development

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Abstractions, Scenarios, and Prompt Definitions for Process Mining with LLMs: A Case Study

Abstractions, Scenarios, and Prompt Definitions for Process ...

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21st International Conference on business Process Management (BPM)

作者： Berti, Alessandro Schuster, Daniel van der Aalst, Andwil M. P. Rhein Westfal TH Aachen Proc & Data Sci Chair Aachen Germany Fraunhofer FIT St Augustin Germany

ISBN: (纸本)9783031509735;9783031509742

Large Language Models (LLMs) are capable of answering questions in natural language for various purposes. With recent advancements (such as GPT-4), LLMs perform at a level comparable to humans for many proficient tasks. The analysis of business processes could benefit from a natural process querying language and using the domain knowledge on which LLMs have been trained. However, it is impossible to provide a complete database or event log as an input prompt due to size constraints. In this paper, we apply LLMs in the context of process mining by i) abstracting the information of standard process mining artifacts and ii) describing the prompting strategies. We implement the proposed abstraction techniques into pm4py, an open-source process mining library. We present a case study using available event logs. Starting from different abstractions and analysis questions, we formulate prompts and evaluate the quality of the answers.

关键词： Process Querying Prompting Engineering Large Language Models ChatGPT

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Suitability of business Process Modeling Methods for Requirements Elicitation 23rd

Suitability of Business Process Modeling Methods for Require...

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23rd International Conference on Perspectives in business Informatics Research (BIR)

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

ISBN: (纸本)9783031713323;9783031713330

Accurate identification and documentation of requirements for software development is fundamental to successful project implementation. business process models help to clearly define and document the steps involved in a process, providing an opportunity to use the models for deriving system requirements. Thus, selecting appropriate business process modeling methods or languages for requirements identification can significantly impact the quality of the final software product. The purpose of this paper is to examine several business process modeling languages with the purpose of showing and comparing their potential to help derive functional and non-functional software requirements out of business process models.

关键词： business Process business Process Modeling Languages BPMN EPC UML-AD

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A Critical Review of Research on Live Streaming of Agricultural Products: Status, Trends, and Mechanisms 1

引用

23rd Wuhan International Conference on E-business (WHICEB)

作者： Wang, Nan Zhao, Yanan Wang, Shenyao Wuhan Univ Wuhan 430072 Hubei Peoples R China

ISBN: (数字)9783031603242

ISBN: (纸本)9783031603266;9783031603242

In recent years, live streaming of agricultural products has gradually become an essential driving force to promote the development of the rural economy in China. Although live streaming of agricultural products has become a research hotspot, there is a lack of a critical review to understand research status and trends on this research topic. Following PRISMA, we search literature on live streaming of agricultural products though Web of Science database and CNKI database. Then, we use CiteSpace software to conduct an overall analysis of current research. Further, we analyze all the empirical studies, and summarized key mechanisms affecting the purchase of agricultural products through live streaming. Both theoretical and empirical contribution are discussed.

关键词： Live Streaming of Agricultural Products Status Trends Empirical Studies Mechanisms

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From Mutualism to Amensalism: A Case Study of Blockchain and Digital Identity Wallets 14th

From Mutualism to Amensalism: A Case Study of Blockchain and...

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14th International Symposium on business Modeling and Software Design (BMSD)

作者： Roth, Tamara Rieger, Alexander Hoess, Alexandra Univ Arkansas Sam M Walton Coll Business 220 N McIlroy Ave 301 Fayetteville AR 72701 USA Univ Luxembourg Interdisciplinary Ctr Secur Reliabil & Trust 29 Av John F Kennedy L-1855 Kirchberg Luxembourg

ISBN: (纸本)9783031640728;9783031640735

Innovation with emerging technologies is often challenging. They are still evolving and many are surrounded by unbalanced claims and hyperbole, which give rise to ambiguity and complicate adoption. These difficulties become even more pronounced when organizations attempt to introduce two loosely coupled emerging technologies. Building on a six-year case-study of the European Blockchain Partnership that attempted to simultaneously introduce blockchain and digital identity wallets, we flesh out the evolution their relationship. Our analysis surfaces a complex material-discursive process that first only discursively and later also materially de-coupled the two technologies along three population ecology principles for species interaction: technological mutualism, technological commensalism, and technological amensalism. Our study contributes an information systems perspective on the enactment and evolution of loosely coupled emerging technologies. Moreover, we use insights from population ecology to better explain and understand the underlying mechanisms.

关键词： Organizing Vision Theory Emerging IT Loose Coupling Mutualism Commensalism Amensalism

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Generating Event Logs from Hybrid Process Models

Generating Event Logs from Hybrid Process Models

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21st International Conference on business Process Management (BPM)

作者： Alman, Anti Maggi, Fabrizio Maria Montali, Marco Rivkin, Andrey Univ Tartu Inst Comp Sci Tartu Estonia Free Univ Bozen Bolzano Bolzano Italy Tech Univ Denmark Inst Math & Comp Sci Lyngby Denmark

ISBN: (纸本)9783031509735;9783031509742

To carry on controlled experiments in process mining, it is necessary to generate event logs with specific characteristics. This has led to the development of log generation techniques in which a process model is simulated to generate an event log that is both compliant with the process model and also has certain user-defined properties (e.g., a certain number of traces, traces with certain lengths, etc.). Such techniques are available for a variety of modeling languages, both procedural and declarative. However, they are limited to simulating a single (procedural or declarative) process model at a time and do not allow simulating concurrent executions of multiple separate, but interacting, processes. In this paper, we introduce a log generation approach that takes multiple (procedural and declarative) process models (i.e., a Hybrid business Process Representation) as input and produces an event log matching the concurrent execution of these models on the same case instances. We discuss the details of our approach and evaluate its implementation.

关键词： Log Generation Process Simulation Hybrid Process Model Data Petri net Declare Finite State Automaton

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