scholarly journals Event clustering & event series characterization on expected frequency

2017 ◽  
Author(s):  
Conrad M. Albrecht ◽  
Marcus Freitag ◽  
Theodore G. van Kessel ◽  
Siyuan Lu ◽  
Hendrik F. Hamann
Keyword(s):  
Expected Frequency ◽  
Event Series ◽  
Event Clustering

It doesn’t hurt to TRY – experiences of youths participating in a TRYathlon event series

2021 ◽  
Author(s):  
Cristina M. Caperchione ◽  
Sean Stolp ◽  
Job Fransen ◽  
Madeleine English ◽  
Lee Wallace ◽  
...  
Keyword(s):  
Event Series

Successful failure: The marketisation of failure in an entrepreneurial economy

2021 ◽  
pp. 146954052110139
Author(s):  
Collin Chua
Keyword(s):  
New York ◽  
Late Capitalism ◽  
Market Conditions ◽  
Workforce Participation ◽  
New Markets ◽  
Start Up ◽  
Event Series ◽  
Global Movement ◽  
Spirit Of Capitalism ◽  
Bear Witness

In our era of late capitalism, we can bear witness to the ongoing creative fashioning of successful failure into a commodity which has grown in value. This article discusses two topics: firstly, attitudes towards and narratives of failure in the entrepreneurial start-up space; and secondly, how ‘successful failure’ is increasingly becoming marketised beyond the entrepreneurial start-up space, as people face the escalating power of an injunction to ‘learn from failure’, and are expected to perform accordingly, as we now live within what has been described as an entrepreneurial economy. The example that initiated this line of research has been the phenomenon of ‘Fuckup Night’ events: ‘Fuckup Nights is a global movement and event series that shares stories of professional failure. Each month, in events across the globe, we get three to four people to get up in front of a room full of strangers to share their own professional fuckup. The stories of the business that crashes and burns, the partnership deal that goes sour and the product that has to be recalled, we tell them all’. In essence, the message is as follows: ‘Yes, you should tell everyone about your failures, as the path you have trod on the route to success’. The marketisation of triumphalist narratives of failure illustrates the rise of a new ‘ideology that justifies engagement in capitalism’, calling for ‘workforce participation’ in a new way (Boltanski and Chiapello, 2007 The New Spirit of Capitalism. London and New York: Verso: 8). This article examines and theorises the commoditisation of successful failure: how certain kinds of failure have been packaged and produced for impact, how – properly packaged – successful failure has become a profitable and lucrative asset and how new markets now thrive around these newly commodified narratives of failure. The article explores the context for the emergence of appropriate market conditions for the production, circulation and consumption of ‘successful failure’ as commodity.

Absolute Pitch as a Learned Phenomenon: Evidence Consistent with the Hick-Hyman Law

1994 ◽  
Vol 12 (2) ◽  
pp. 267-270 ◽  
Author(s):  
Jasba Simpson ◽  
David Huron
Keyword(s):  
Reaction Time ◽  
Absolute Pitch ◽  
Reaction Time Data ◽  
Western Music ◽  
Frequency Of Occurrence ◽  
Time Data ◽  
Expected Frequency ◽  
Computer Based ◽  
Additional Support

An analysis of reaction time data collected by Miyazaki (1989) provides additional support for absolute pitch as a learned phenomenon. Specifically, the data are shown to be consistent with the Hick- Hyman law, which relates the reaction time for a given stimulus to its expected frequency of occurrence. The frequencies of occurrence are estimated by analyzing a computer-based sample of Western music. The results are consistent with the view that absolute pitch is acquired through ordinary exposure to the pitches of Western music.

Event Mining Through Clustering

2014 ◽  
Vol 23 (1) ◽  
pp. 59-73
Author(s):  
E. Umamaheswari ◽  
T.V. Geetha
Keyword(s):  
Clustering Algorithm ◽  
Semantic Representation ◽  
Clustering Algorithms ◽  
Event Semantics ◽  
Information Retrieval Evaluation ◽  
Event Mining ◽  
Unique Word ◽  
Event Clustering ◽  
Cluster Efficiency ◽  
Single Cluster

AbstractTraditional document clustering algorithms consider text-based features such as unique word count, concept count, etc. to cluster documents. Meanwhile, event mining is the extraction of specific events, their related sub-events, and the associated semantic relations from documents. This work discusses an approach to event mining through clustering. The Universal Networking Language (UNL)-based subgraph, a semantic representation of the document, is used as the input for clustering. Our research focuses on exploring the use of three different feature sets for event clustering and comparing the approaches used for specific event mining. In our previous work, the clustering algorithm used UNL-based event semantics to represent event context for clustering. However, this approach resulted in different events with similar semantics being clustered together. Hence, instead of considering only UNL event semantics, we considered assigning additional weights to similarity between event contexts with event-related attributes such as time, place, and persons. Although we get specific events in a single cluster, sub-events related to the specific events are not necessarily in a single cluster. Therefore, to improve our cluster efficiency, connective terms between two sentences and their representation as UNL subgraphs were also considered for similarity determination. By combining UNL semantics, event-specific arguments similarity, and connective term concepts between sentences, we were able to obtain clusters for specific events and their sub-events. We have used 112 000 Tamil documents from the Forum for Information Retrieval Evaluation data corpus and achieved good results. We have also compared our approach with the previous state-of-the-art approach for Router-RCV1 corpus and achieved 30% improvements in precision.

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