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

共 8646 条记录，以下是4011-4020 订阅

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Behavioural Profiling Authentication Based on Trajectory Based Anomaly Detection Model of User's Mobility 20th

Behavioural Profiling Authentication Based on Trajectory Bas...

引用

20th International Conference on business information Systems (BIS)

作者： Kaluzny, Piotr Poznan Univ Econ & Business Al Niepodleglosci 10 PL-61875 Poznan Poland

ISBN: (纸本)9783319690230;9783319690223

Behavioural profiling and biometry are an interesting concept connected with authentication that have appeared in scientific literature and business world. Those methods indisputably offer new possibilities such as constant authentication and multi-user classification, but their taxonomy and definitions are not as clarified as it is for traditional authentication factors. The approach presented provides in this work provides an example of behavioural authentication model tested on a large dataset, focusing on one aspect of user behaviour - mobility, which can be adjusted to include other aspects in user behavioural authentication model. Also possible applications and extensions to the model are proposed.

关键词： Behavioural biometry Behavioural profiling User profile Authentication CDR Mobility Trajectory extraction Stay-time Anomaly detection

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Reliability of AAL Systems Modeled as BPMN business Processes 18th

Reliability of AAL Systems Modeled as BPMN Business Processe...

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18th International Conference on Enterprise information Systems (ICEIS)

作者： Respicio, Ana Martinho, Ricardo Domingos, Dulce Univ Lisbon Dept Informat Fac Ciencias Lisbon Portugal Univ Lisbon CMAFCIO Ctr Matemat Aplicacoes Fundamentais & Inv Fac Ciencias Lisbon Portugal Polytech Inst Leiria Porto Portugal CINTESIS Ctr Hlth Technol & Serv Res Porto Portugal Univ Lisbon LaSIGE Fac Ciencias Lisbon Portugal

ISBN: (纸本)9783319623863;9783319623856

The use of Ambient-Assisted Living (AAL) systems has been spreading across several countries, with the ultimate purpose of improving the quality of life of patients. These systems often reflect complex architectures including several components such as sensors, gateways, information Systems or even actuators, as well as messaging and transmitting protocols. Failures in these systems can have severe impact on a monitored patient, and most components foresee some kind of compensation countermeasures to increase reliability. Nevertheless, these measures are often self-contained to a single component and do not address the overall AAL system reliability, disregarding precedent and successor activities and interactions that exist for each time a certain value is registered or a certain alert is triggered. In this paper, we propose a new approach to calculate the overall reliability of an AAL system. We take a business Process Management (BPM) approach to model the activities and interactions between AAL components, using the business Process Model and Notation (BPMN) standard. By extending the BPMN standard to include reliability information, we can derive the overall reliability of a certain AAL system. To prove this approach, we also present a reliability study considering scenarios with single and pairwise reliability variations of AAL system components. With this approach, healthcare managers can benefit from important overall reliability information of an AAL system, and better allocate the appropriate resources (including hardware or health care professionals) to improve responsiveness of care to patients.

关键词： Ambient-Assisted Living Reliability business processes BPMN

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Privacy Preserving Discovery of Nearby-Friends 7th

Privacy Preserving Discovery of Nearby-Friends

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7th International MCETECH Conference on E-Technologies

作者： Hezaveh, Maryam Adams, Carlisle Univ Ottawa Sch Elect Engn & Comp Sci Ottawa ON Canada

ISBN: (纸本)9783319590417;9783319590400

We propose a privacy-preserving protocol for the discovery of nearby friends. In this scenario, Alice wants to verify whether any of her friends is close to her or not. This should be done without disclosing any information about Alice to her friends and also any of the other parties' information to Alice. In this paper, we present a protocol based on the homomorphic property of Goldwasser-Micali cryptosystem to protect each user's location in proximity queries. However, an active adversary could learn, if two users are "close" to each other due to the vulnerability of the Goldwasser-Micali to IND-CCA2 attacks and malleability of homomorphic encryption schemes. Our protocol solves this problem with the authenticated encryption scheme called encrypt-then-mac [5]. We implemented our proposed protocol on the Android platform and we show that the proposed system and protocol can achieve a high level of privacy and secrecy.

关键词： Privacy Location based services Goldwasser-Micali cryptosystem

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Ontology Based Possibilistic Reasoning for Breast Cancer Aided Diagnosis 14th

Ontology Based Possibilistic Reasoning for Breast Cancer Aid...

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14th European, Mediterranean, and Middle Eastern Conference (EMCIS)

作者： Ben Salem, Yosra Idoudi, Rihab Ettabaa, Karim Saheb Hamrouni, Kamel Solaiman, Basel Ecole Natl Ingenieurs Tunis BP 37 Tunis 1002 Tunisia IMT Atlantique 655 Ave Technopole F-29200 Plouzane France

ISBN: (纸本)9783319659305;9783319659299

Medical diagnosis is a very complex task in the case where information suffer from various imperfections. That's why doctors rely on their knowledge and previous experiences to take the adequate decision. In this context, the case based reasoning (CBR) paradigm aims to resolve current problems basing on previous knowledge. Using ontologies to store and represent the background knowledge may notably enhance and improve the CBR semantic effectiveness. This paper proposes a possibilistic ontology based CBR approach in order to perform a possibilistic semantic retrieval algorithm that handles ambiguity and uncertainty problems. The approach is implemented and tested on the mammographic domain. The target ontology is instantiated with 113 real cases. The effectiveness of the proposed approach is illustrated with a set of experiments and case studies.

关键词： Case Based Reasoning Knowledge management Possibilistic ontology Breast cancer diagnosis Case retrieval

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Cognitive Style and business Process Model Understanding 29th

Cognitive Style and Business Process Model Understanding

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29th International Conference on Advanced information Systems Engineering (CAiSE)

作者： Turetken, Oktay Vanderfeesten, Irene Claes, Jan Eindhoven Univ Technol Eindhoven Netherlands Univ Ghent Ghent Belgium

ISBN: (纸本)9783319600482;9783319600475

Several factors influence the level of business process model understanding. In this paper, we investigate two personal factors that potentially relate to this level: a reader's cognitive style and theoretical knowledge on business process (BP) modeling. An experiment with 183 graduate students was conducted to explore their differences in cognitive styles using Cognitive Style Index (CSI) and how these relate to their scores in process model understandability. We used two real-life BPMN collaboration diagrams as our process models in our experiment. The results indicate a significant difference between intuitive and analytic students with respect to the level of BP model understandability. The relation between students' theoretical BP modeling and notation competency, and their level of model understanding is also found significant.

关键词： business process modeling Process model comprehension Model understandability Cognitive style Cognitive style index (CSI) Theoretical business process modeling knowledge

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A Practical Approach for Process Mining in Production Processes 5th

A Practical Approach for Process Mining in Production Proces...

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5th International ERP Future - Research Conference

作者： Natschlaeger, Christine Kossak, Felix Lettner, Christian Geist, Verena Denkmayr, Andreas Kaeferboeck, Beate Software Competence Ctr Hagenberg GmbH Hagenberg Austria

ISBN: (纸本)9783319588018;9783319588001

Processes are the core of an enterprise and describe the interconnection of tasks in daily business. The purpose of this article is to present methods and tools that enable extraction of processes based on the concept of process analysis/mining. This valuable knowledge about the current processes of a company can serve as the starting point for performance analysis and process improvement, for implementation of a software system or for monitoring adherence to processes. In this paper, we present two actual business scenarios of manufacturing companies and their requirements regarding process analysis. We used a practical research approach including quantitative methods. Important results are the suggestion of a procedure and the development of a process mining tool. A comparison of de jure and de facto processes and a suggestion of optimization potentials complete the work.

关键词： Process mining Process comparison Optimization

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Research in Progress: Implementation of an Integrated Data Model for an Improved Monitoring of Environmental Processes

Research in Progress: Implementation of an Integrated Data M...

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19th International Conference on business information Systems (BIS)

作者： Schima, Robert Goblirsch, Tobias Salbach, Christoph Franczyk, Bogdan Aleithe, Michael Bumberger, Jan Dietrich, Peter UFZ Helmholtz Ctr Environm Res Dept Monitoring & Explorat Technol Leipzig Germany Univ Leipzig Fac Econ & Management Sci Chair Informat Management Leipzig Germany UFZ Helmholtz Ctr Environm Res Dept Landscape Ecol Leipzig Germany

ISBN: (纸本)9783319524641;9783319524634

How can we benefit from innovative open-source technologies such as mobile sensors and open data platforms in the field of environmental monitoring? Due to the fact that we are facing challenging problems in terms of climate change, urbanization and a growing world population, new strategies for a more comprehensive environmental monitoring have to be developed. Here, we need to create user-specific and easy to use infrastructures as assistance tools for a comprehensive and mobile data acquisition, data processing and data provision. With regard to the variety of existing data sources, data acquisition tools and scales, this paper is focused on strategies and methods for an service oriented monitoring approach based on an integrated data model. To this end, a formal connection was defined by combining spatial, temporal and contextual information of sensor readings into one measure called the individual specific exposure (ISE), which will be later extended to a predictive individual exposure by using historical data.

关键词： Environmental monitoring Mobile data acquisition Individual Specific Exposure Data integration Fusion of data

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Discovering Social Networks Instantly: Moving Process Mining Computations to the Database and Data Entry Time 18th

Discovering Social Networks Instantly: Moving Process Mining...

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18th International Conference on business Process Modeling, Development and Support (BPMDS) / 22nd International Conference on Evaluation and Modeling Methods for Systems Analysis and Development (EMMSAD)

作者： Syamsiyah, Alifah van Dongen, Boudewijn F. van der Aalst, Wil M. P. Eindhoven Univ Technol Eindhoven Netherlands

ISBN: (纸本)9783319594668;9783319594651

Process mining aims to turn event data into insights and actions in order to improve processes. To improve process performance it is crucial to get insights into the way people work and collaborate. In this paper, we focus on discovering social networks from event data. To be able to deal with large data sets or with an environment which requires repetitive discoveries during the analysis, and still provide results instantly, we use an approach where most of the computation is moved to the database and things are precomputed at data entry time. Differently from traditional process mining where event data is stored in file-based system, we store event data in relational databases. Moreover, the database also has a role as an engine to compute the intermediate structure of social network during insertion data. By moving computation both in location (to database) and time (to recording time), the discovery of social networks in a process context becomes truly scalable. The approach has been implemented using the open source process mining toolkit ProM. The experiments reported in this paper demonstrate scalability while providing results instantly.

关键词： Social network Process mining Relational database Repetitive discovery

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Emotions in Online Reviews to Better Understand Customers' Brand Perception

Emotions in Online Reviews to Better Understand Customers' B...

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19th International Conference on business information Systems (BIS)

作者： Felbermayr, Armin Katholische Univ Eichstatt Ingolstadt Schanz 49 D-85049 Ingolstadt Germany

ISBN: (纸本)9783319524641;9783319524634

Measuring customers' opinions based on online customer reviews pose an integral part of Social CRM. However, polarity analysis, i.e., positive vs. negative opinion, fails to map the emotional mindset of customers. To complement existing Social CRM tools with a comprehensible, yet efficient way of measuring emotions towards brands, a model is presented to differentiate eight basic human emotions. Emotion terms get extracted and categorized review-wise by an eight dimensional emotion lexicon into eight dimensional feature vectors. These vectors train the random forest classifier to distinguish positive helpful from negative helpful reviews. The classifiers inherent ability to display single feature importance enables marketers to infer the importance of each basic emotion. The ability to measure the interrelationship of emotions towards brands equips marketers with a powerful tool to better understand consumers and to adapt CRM campaigns accordingly. Along with the technicalities of the model a way of interpreting results is presented.

关键词： Brands Emotions Online customer reviews Helpfulness Text mining Social CRM

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A Framework for Describing Big Data Projects

A Framework for Describing Big Data Projects

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19th International Conference on business information Systems (BIS)

作者： Saltz, Jeffrey Shamshurin, Ivan Connors, Colin Syracuse Univ Syracuse NY 13210 USA

ISBN: (纸本)9783319524641;9783319524634

With the ability to collect, store and analyze an ever-growing diversity of data generated with ever-increasing frequency, Big Data is a rapidly growing field. While tremendous strides have been made in the algorithms and technologies that are used to perform the analytics, much less has been done to determine how the team should work together to do a Big Data project. Our research reports on a set of case studies, where researchers were embedded within Big Data teams. Since project methodologies will likely depend on the attributes of a Big Data effort, we focus our analysis on defining a framework to describe a Big Data project. We then use this framework to describe the organizations we studied and some of the socio-technical challenges linked to these newly defined project characteristics.

关键词： Big data Data science Project management Process methodology

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