Process Mining is a technology for extracting non-trivial and useful information from execution logs. For example, there are many process mining techniques to automatically discover a process model describing the causal dependencies between activities. Unfortunately, the quality of a discovered process model strongly depends on the quality and suitability of the input data. For example, the log...

The proliferation of online social networks and the spread of smart mobile devices enable the collection of information related to a multitude of users’ activities. These networks, where every node is associated with a type of action and a frequency, are usually referred to as activity networks. Examples of such networks include city road networks, where the nodes are intersections and the edge...

In this paper, an algorithm for extracting information from raw, surveillance-style video of an outdoor scene containing a mix of people, bicycles, and motorized vehicles is presented. A feature extraction algorithm based on background estimation and subtraction followed by spatial clustering and multiobject tracking is used to process sequences of video frames into a track set. The resulting t...

The availability of automatic support may determine the successful accomplishment of many real-world procedures. However, the underlying process models are too complex for writing and setting up them manually, and even standard machine learning approaches may be unable to infer them. Additionally, suitable conditions may that determine whether some tasks are to be carried out or not. These cond...

© Springer International Publishing Switzerland 2015 N. Boulus-Rødje et al. (eds.), ECSCW 2015: Proceedings of the 14th European Conference on Computer Supported Cooperative Work, 19–23 September 2015, Oslo, Norway, DOI 10.1007/978-3-319-20499-4_2 Abstract We have investigated techniques for mining programming activity to offer help to programmers in difficulty. We have developed a (a) difficul...

Open Source software repository is a collection of various projects with varying levels of activities, participations, and downloads. In this paper, we attempt to categorize and mine activity, thus discovering success, by focusing on the Games group. However, we observe that there are a significant number of projects within the Games category that are inactive or have no ranking assigned by Sou...

One hundred and seventy-one genes encoding potential esterases from 11 bacterial genomes were cloned and overexpressed in Escherichia coli; 74 of the clones produced soluble proteins. All 74 soluble proteins were purified and screened for esterase activity; 36 proteins showed carboxyl esterase activity on short-chain esters, 17 demonstrated arylesterase activity, while 38 proteins did not exhib...

This paper presents a Workflow Mining new paradigm. This paradigm keeps in mind on one side the processes,and on the other hand the results given by these processes themselves. This is a contrast between the Event-Based Workflow Mining and the one it is presented in this paper. Finite Automata are a good idea to represent this paradigm to take profit of the theoretical advantages of the Regular...

“Garbage in. garbage out” is a well-known phrase in computer analysis, and one that comes to mind when mining Web data to draw conclusions about Web users. The challenge is that data analysts wish to infer patterns of client-side behavior from server-side data. However, because only a fraction of the user’s actions ever reach the Web server, analysts must rely on incomplete data. In this paper,...

In this paper, an algorithm for extracting information from raw, surveillance-style video of an outdoor scene containing a mix of people, bicycles, and motorized vehicles is presented. A feature extraction algorithm based on background estimation and subtraction followed by spatial clustering and multiobject tracking is used to process sequences of video frames into a track set. The resulting t...