Business process choreography for b2b collaboration

Jung, Jae‐Yoon; Hur, Wonchang; Kang, Suk‐Ho; Kim, Hoontae

doi:10.1109/mic.2004.1260702

Cited by 46 publications

(5 citation statements)

References 3 publications

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“… Efficiently processing business process data is challenging due to the complex sequential nature of such data and the numerous direct short-term dependencies between activities within each trace [1][2][3][4].  Reasoning about anomalies is further complicated by the long-term spans of dependencies in many cases.…”

Section: A Overviewmentioning

confidence: 99%

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Business Process Anomaly Detection and Root Cause Analysis Using BLSTM-VAE With Attention

El-Aziz,

Fathalla,

Ismail

et al. 2024

IEEE Access

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Detecting anomalous executions in business process data is crucial for safeguarding the efficiency and success of an organization. Unsupervised approaches are commonly used for business process anomaly detection because of the scarcity of labeled anomaly data. However, these approaches often encounter a notable decline in performance because they lack prior knowledge about the anomalies. Additionally, most of them do not perform root cause analysis on the detected anomalies. This study proposes a variational autoencoder-based approach to overcome the performance limitations of existing unsupervised methods and determine the root causes of the detected anomalies. The learning of the variational autoencoder from unlabeled business process data is enhanced in the proposed approach by leveraging different architectural components, namely, the entity embedding technique, the bidirectional long short-term memory network, and the self-attention mechanism. Combining these architectural components in the variational autoencoder architecture leads to learning high-level representations from the business process data and thus improving the reconstruction capability of the variational autoencoder. Furthermore, this study suggests feeding the reconstruction error provided by the variational autoencoder into the logistic regression classifier to improve the accuracy of anomaly detection. The performance of the proposed model was evaluated on real-life and synthetic datasets. The experimental findings indicate that the proposed model outperforms six existing anomaly detection models in terms of precision, recall, and F1-score metrics.

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Section: A Overviewmentioning

confidence: 99%

“…It can be relatively short or lengthy. Longer processes often exhibit more interdependencies between activities [1][2][3]. Within the realm of business process analysis, anomalies can manifest as atypical process executions or noise present in event logs.…”

Section: Introductionmentioning

confidence: 99%

Business Process Anomaly Detection and Root Cause Analysis Using BLSTM-VAE With Attention

El-Aziz,

Fathalla,

Ismail

et al. 2024

IEEE Access

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“…From a functional point of view, in all the considered cases, conversation controllers are able to maintain the states of conversations, to check for sequencing constraints and also to return error information when a message is not compliant with the protocol in execution. A common restriction is that protocols interpreted by conversation controllers, except the BPEL-based or Business Process Modeling Language-based descriptions [24,25,27], cannot be directly executed and must be translated into some executable representation, such as control tables [18], hash tables [23] or dual processes [24]. Petri nets are proposed in [20] as an executable specification, but this is done from a conceptual point of view, and no implementation is reported in the paper.…”

Section: Related Workmentioning

confidence: 99%

“…Unfortunately, these conversation controllers are still rather immature. Most of the proposals are prototypes [17,18,23] or complex architectural designs that will require further efforts for its implementation [20,25]. On the other hand, [24] describes the implementation of a conversation controller as a message handler for Axis; that is, it can transparently intercept a copy of messages sent and received by services.…”

Section: Related Workmentioning

confidence: 99%

DENEB: a platform for the development and execution of interoperable dynamic Web processes

Fabra

Álvarez

Bañares

et al. 2011

Concurrency and Computation

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SUMMARYService-oriented computing provides a suitable technological foundation for developing and executing dynamic business processes. However, most current approaches for composition languages and architectures for dynamic process integration do not provide the flexibility and dynamism required by interorganisational evolving environments. In this work, the DENEB platform for the development and execution of Web processes is presented. DENEB is based on the conversational approach and the Nets-within-Nets paradigm, allowing Web processes to acquire and execute new interaction protocols at run-time. This makes DENEB a well-adapted and flexible platform for dynamic service composition, interaction and integration, suitable for this kind of scenario. The scalability of the proposed solution is evaluated by means of the development of a set of experiments.

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“…The aim of this investigation was to check the possibility of the production of the uniform nano-sized protective coatings using the simple spraying deposition method (already used in lamp fabrication [4]) and inexpensive precursors.…”

Section: Introductionmentioning

confidence: 99%

16‐4: Development of Nano‐Sized Protective Layers for Flat Fluorescent Lamps (FFLs)

Jung

Evstropiev

Lee

et al. 2007

Symp Digest of Tech Papers

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The preparation of different thin and uniform continuous oxide and mixed oxide-fluoride coatings on the glass and on the surface of particulate layers (multi-component phosphor layers; reflective layer; MgO layer) which layers are disposed inside lamp bulb, was studied. The use of simple and industrially available technique with acidic salt solutions provides the fabrication of these coatings. The effectiveness of the using of these coatings in FFL has been demonstrated.

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Business process choreography for b2b collaboration

Cited by 46 publications

References 3 publications

Business Process Anomaly Detection and Root Cause Analysis Using BLSTM-VAE With Attention

Business Process Anomaly Detection and Root Cause Analysis Using BLSTM-VAE With Attention

DENEB: a platform for the development and execution of interoperable dynamic Web processes

16‐4: Development of Nano‐Sized Protective Layers for Flat Fluorescent Lamps (FFLs)

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