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Titlebook: Business Information Systems; 19th International C Witold Abramowicz,Rainer Alt,Bogdan Franczyk Conference proceedings 2016 Springer Intern

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樓主: T-Lymphocyte
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發(fā)表于 2025-3-26 22:57:01 | 只看該作者
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發(fā)表于 2025-3-27 01:07:46 | 只看該作者
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發(fā)表于 2025-3-27 08:03:15 | 只看該作者
High-Frequency Trading, Computational Speed and Profitability: Insights from an Ecological Modellinghow those are affected by such attributes as ultra-low latency or news processing power. Given a fairly modest amount of empirical evidence on the subject, we study the relation between the computational speed and HFTs’ profits through an experimental artificial agent-based equity market. Our approa
34#
發(fā)表于 2025-3-27 09:39:03 | 只看該作者
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發(fā)表于 2025-3-27 15:05:00 | 只看該作者
Towards Identifying the Business Value of Big Data in a Digital Business Ecosystem: A Case Study fro research on the business value of big data is scarce. The research project presented in this article aims at advancing the research in this area, focusing on the identification of opportunities towards determining the business value of big data. The goal of the research project pursued is to develo
36#
發(fā)表于 2025-3-27 19:46:51 | 只看該作者
Flexible On-the-Fly Recommendations from Linked Open Data Repositoriescused on enhancing item feature information with data from the Linked Open Data cloud. Linked Data recommender systems are usually bound to a predefined set of item features and offer limited opportunities to tune the recommendation model to individual needs. The paper addresses this research gap by
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發(fā)表于 2025-3-28 00:43:46 | 只看該作者
Effective Visualizations of Energy Consumption in a Feedback System – A Conjoint Measurement Studyconsumption of private households to provide real insights. In order to provide useful information, feedback systems may be the answer. Numerous studies about feedback systems have been conducted so far and each individual component of such a system has been tested. The combination of these componen
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發(fā)表于 2025-3-28 05:33:44 | 只看該作者
39#
發(fā)表于 2025-3-28 07:54:54 | 只看該作者
Quantitative Analysis of Art Market Using Ontologies, Named Entity Recognition and Machine Learning:gy has been designed to describe art market data in a unified way. To ensure the quality of information in the knowledge base of the ontology, data enrichment techniques such as named entity recognition (NER) or data linking are also involved. By using techniques from computer vision and machine lea
40#
發(fā)表于 2025-3-28 10:51:41 | 只看該作者
Search Engine Visibility Indices Versus Visitor Traffic on Websitesthe SEO-Communities. SEO visibility indices show the overall visibility of a website regarding the search engine result page (SERP). Although search engine visibility indices are widespread as an important KPI, they are highly controversial regarding the aspect of a correlation between real website
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