Titlebook: On the Move to Meaningful Internet Systems. OTM 2017 Conferences; Confederated Interna Hervé Panetto,Christophe Debruyne,Robert Meersman Co

憂傷

perpetual

Characterizing Regulatory Documents and Guidelines Based on Text Miningrganizations and institutions across several domains. Due to the amount of domain-specific information and actions encoded in these documents, organizations often need to establish cooperations between several departments and consulting experts to guide managers and employees in eliciting compliance

廚師

A Scalable Smart Meter Data Generator Using Sparkta management and analytics systems to process petabytes of data. Benchmarking and testing of these systems require scalable data, however, it can be challenging to get large data sets due to privacy and/or data protection regulations. This paper presents a scalable smart meter data generator using

非實體

Network-Aware Stochastic Virtual Machine Placement in Geo-Distributed Data Centerscertainty of the inter-VMs traffic while making placement and migration decisions. First, we propose a stochastic program with the objective of minimizing inter-DCs traffic. Then, we propose an equivalent optimization model using sampling methods and we present a two-step approach to solve the probl

永久

Finding Process Variants in Event Logsttings (e.g., changes of control-flow over time), or do not use statistical testing to decide whether a variant is relevant or not. In this paper, we introduce an unsupervised and generic technique to detect significant variants in event logs by applying existing, well-proven data mining techniques

Fissure

Interactive and Incremental Business Process Model Repairounds to handle special circumstances, which over time become part of the norm. Process model repair methods help modelers to realign their models with the observed behavior as recorded in an event log. Given a process model and an event log, these methods produce a new process model that more close

甜得發(fā)膩

Control Flow Structure Preservation During Process Fragment Anonymizationocesses and represents confidential information, this can result in an information leakage. Hence, a control flow anonymization approach is proposed. It merges multiple control flows from the same process collection to minimize the similarity between the original and the anonymized one. At the same

多樣

Diversity-Aware Continuous Top-, Queries in Social Networksrving an efficient, continuous processing. We propose the DA-SANTA algorithm, which smoothly adds content diversity to the continuous processing of top-. queries at the social network scale. The experimental study demonstrates the very good properties in terms of effectiveness and efficiency of this

Popcorn

Modeling and Discovering Cancelation Behavioriscover sound, fitting models with cancelation features. The proposed discovery technique relies on a generic error oracle function, and allows us to discover complex combinations of multiple, possibly nested cancelation regions based on observed behavior. An implementation of the proposed approach

Kaleidoscope

Introducing Collaboration for Locating Features in Models: Approach and Industrial Evaluationon of different domain experts. This collaboration is especially important in long-living industrial domains where a single domain expert may lack the required knowledge to fully locate a feature, so the collaboration among different domain experts could alleviate this lack of knowledge. In this wor