From radioactivity to data mining: Günther Anders in the Anthropocene

Thesis Eleven ◽  
2019 ◽  
Vol 153 (1) ◽  
pp. 9-23 ◽  
Author(s):  
Christopher John Müller
Keyword(s):  
Data Mining ◽  
Digital Data ◽  
Radioactive Material ◽  
Contemporary World ◽  
Do So

This essay traces the complex constellation of ideas that informs Anders's turn to the generalizing expression ‘the human’ in his postwar work. It mobilizes the properties of radioactive material and digital data, which are both curiously imperceptible to our senses, to discuss Anders’s insistence on the universalizing pronoun `we' and assess its significance in the contemporary world. To do so, it aligns Anders's work with current debates about the Anthropocene and critiques of the use of the term ‘the human’ in postcolonial settings.

You are where you go, the commodification of daily life through ‘location’

2017 ◽  
Vol 49 (12) ◽  
pp. 2702-2717 ◽  
Author(s):  
Jim Thatcher
Keyword(s):  
Data Mining ◽  
Everyday Life ◽  
Mobile Application ◽  
Daily Life ◽  
Digital Data ◽  
Late Capitalism ◽  
User Intent ◽  
Data Object ◽  
Other Information ◽  
Sensor Information

Recent years have seen an explosion in the investment into and valuation of mobile spatial applications. With multiple applications currently valued at well over one billion U.S. dollars, mobile spatial applications and the data they generate have come to play an increasingly significant role in the function of late capitalism. Empirically based upon a series of interviews conducted with mobile application designers and developers, this article details the creation of a digital commodity termed ‘location.’ ‘Location’ is developed through three discursive poles: Its storing of space and time as digital data object manipulable by code, its spatial and temporal immediacy, and its ability to ‘add value’ or ‘tell a story’ to both end-users and marketers. As a commodity it represents the sum total of targeted marking information, including credit profiles, purchase history, and a host of other information available through data mining or sensor information, combined with temporal immediacy, physical location, and user intent. ‘Location’ is demonstrated to exist as a commodity from its very inception and, as such, to be a key means through which everyday life is further entangled with processes of capitalist exploitation.

scholarly journals A Critique of the ‘Paleo Diet’

1969 ◽  
Vol 3 (1) ◽  
pp. 1-6
Author(s):  
Ashley Reeves
Keyword(s):  
Social Economic ◽  
Power Dynamics ◽  
Technical Solution ◽  
Food Regime ◽  
Contemporary World ◽  
The Social ◽  
Consumption Practices ◽  
Paleo Diet ◽  
Global Food ◽  
Do So

Relatively little has been written about the social, economic and political dynamics and relationships that are engendered through Paleo culture. Examining the tensions within and between the ‘Paleo Diet’ principles and practices reveals the application of a technical solution to a structural problem: power dynamics created at an individual and group level by the Paleo culture reveals an emergent food classism rooted in socio-economic and racialized inequalities. Participation in and adherence to the Paleo lifestyle (or the inability to do so) creates particular types of social subjects and subjectivities based on the implicit moralization of food and consumption practices. While the Paleo Diet reflects millenarian apprehensions about the state of the contemporary world and concerns with global food quality and food insecurity, it is dependent on and exacerbates the socio-economic dynamics and marginalizing practices of a global food regime that it seeks to critique and abandon.

Richard William Southern 1912–2001

2003 ◽  
Author(s):  
Alexander Murray
Keyword(s):  
The Other ◽  
Practical Action ◽  
Contemporary World ◽  
The World ◽  
History Of ◽  
The Common ◽  
Deep Thought ◽  
Life Work ◽  
Made In ◽  
Do So

People with a logical turn of mind say that the history of the world can be summarised in a sentence. A précis of mediaval historian Richard William Southern's work made in that spirit would identify two characteristics, one housed inside the other, and both quite apart from the question of its quality as a work of art. The first is his sympathy for a particular kind of medieval churchman, a kind who combined deep thought about faith with practical action. This characteristic fits inside another, touching Southern's historical vision as a whole. Its genesis is traceable to those few seconds in his teens when he ‘quarrelled’ with his father about the Renaissance. The intuition that moved him to do so became a historical fides quaerens intellectum. Reflection on Southern's life work leaves us with an example of the service an historian can perform for his contemporary world, as a truer self-perception seeps into the common consciousness by way of a lifetime of teaching and writing, spreading out through the world (all Southern's books were translated into one or more foreign language).

Data Science

2018 ◽  
pp. 141-151
Author(s):  
Sabitha Rajagopal
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Research And Development ◽  
Real Time ◽  
Data Science ◽  
Data Warehousing ◽  
Holistic Approach ◽  
Digital Data ◽  
Data Application ◽  
Development Analysis

Data Science employs techniques and theories to create data products. Data product is merely a data application that acquires its value from the data itself, and creates more data as a result; it's not just an application with data. Data science involves the methodical study of digital data employing techniques of observation, development, analysis, testing and validation. It tackles the real time challenges by adopting a holistic approach. It ‘creates' knowledge about large and dynamic bases, ‘develops' methods to manage data and ‘optimizes' processes to improve its performance. The goal includes vital investigation and innovation in conjunction with functional exploration intended to notify decision-making for individuals, businesses, and governments. This paper discusses the emergence of Data Science and its subsequent developments in the fields of Data Mining and Data Warehousing. The research focuses on need, challenges, impact, ethics and progress of Data Science. Finally the insights of the subsequent phases in research and development of Data Science is provided.

Instance Selection

2011 ◽  
pp. 1041-1045
Author(s):  
Huan Liu
Keyword(s):  
Data Mining ◽  
Data Storage ◽  
Data Reduction ◽  
Effective Means ◽  
Digital Data ◽  
Data Selection ◽  
Instance Selection ◽  
Redundant Data ◽  
Performance Deterioration ◽  
Digital Data Storage

The amounts of data become increasingly large in recent years as the capacity of digital data storage worldwide has significantly increased. As the size of data grows, the demand for data reduction increases for effective data mining. Instance selection is one of the effective means to data reduction. This article introduces basic concepts of instance selection, its context, necessity and functionality. It briefly reviews the state-of-the-art methods for instance selection. Selection is a necessity in the world surrounding us. It stems from the sheer fact of limited resources. No exception for data mining. Many factors give rise to data selection: data is not purely collected for data mining or for one particular application; there are missing data, redundant data, and errors during collection and storage; and data can be too overwhelming to handle. Instance selection is one effective approach to data selection. It is a process of choosing a subset of data to achieve the original purpose of a data mining application. The ideal outcome of instance selection is a model independent, minimum sample of data that can accomplish tasks with little or no performance deterioration.

Towards Distributed Association Rule Mining Privacy

2011 ◽  
pp. 245-271
Author(s):  
Mafruz Ashrafi ◽  
David Taniar ◽  
Kate Smith
Keyword(s):  
Data Mining ◽  
Data Privacy ◽  
Large Data ◽  
Digital Data ◽  
Sensitive Information ◽  
Distributed Data ◽  
Data Repositories ◽  
Actionable Knowledge ◽  
The Cost ◽  
Network Technologies

With the advancement of storage, retrieval, and network technologies today, the amount of information available to each organization is literally exploding. Although it is widely recognized that the value of data as an organizational asset often becomes a liability because of the cost to acquire and manage those data is far more than the value that is derived from it. Thus, the success of modern organizations not only relies on their capability to acquire and manage their data but their efficiency to derive useful actionable knowledge from it. To explore and analyze large data repositories and discover useful actionable knowledge from them, modern organizations have used a technique known as data mining, which analyzes voluminous digital data and discovers hidden but useful patterns from such massive digital data. However, discovery of hidden patterns has statistical meaning and may often disclose some sensitive information. As a result, privacy becomes one of the prime concerns in the data-mining research community. Since distributed data mining discovers rules by combining local models from various distributed sites, breaching data privacy happens more often than it does in centralized environments.

scholarly journals The Effect of Principal’s Distributed Leadership Practice on Students’ Academic Achievement: A Systematic Review of the Literature

2019 ◽  
Vol 9 (1) ◽  
pp. 189
Author(s):  
Ghirmai Jambo Daniel ◽  
Hongde Lei
Keyword(s):  
Academic Achievement ◽  
Best Practices ◽  
Distributed Leadership ◽  
Review Of The Literature ◽  
Leadership Practice ◽  
Principal's Role ◽  
Contemporary World ◽  
Role Of Principal ◽  
Do So

Distributed leadership as a new scenario of educational leadership has become a popular topic in the contemporary world. Many notable researchers and members of the discourse community have contributed significantly to its development. However, little attention has paid to its effectiveness. Hence, the main purpose of this article is to analyze the existing evidence for the effect of principal’s leadership practice on students’ academic achievement from a distributed perspective. To do so, a systematic search of academic databases was conducted and 68 references spanning from the year 2001 to 2018 were selected and systematically reviewed. Due consideration was given to their concepts of distributed leadership practice, principal’s role, and students’ academic achievement. The findings of this article show that distributed leadership has positive and indirect effect on students’ academic achievement and the role of principal is indispensable. Nevertheless, there is little emperical evidence, a lack of universal accepted patterns and best practices of distributed leadership which strains further investigation. On the basis of evidence currently available, it seems reasonable to recommend scholars, policy developers, and practitioners to recognize the role of principal on distributed leadership and its best practices. 

scholarly journals Ownership protection of outsourced biomedical time series data based on optimal watermarking scheme in data mining

2017 ◽  
Vol 21 ◽  
Author(s):  
Trung Duy Pham ◽  
Dat Tran ◽  
Wanli Ma
Keyword(s):  
Data Mining ◽  
Time Series ◽  
Time Series Data ◽  
Digital Data ◽  
Series Data ◽  
Biomedical Data ◽  
Protection Mechanism ◽  
Wide Range ◽  
Watermarking Scheme ◽  
Ownership Protection

In the biomedical and healthcare fields, the ownership protection of the outsourced data is becoming a challenging issue in sharing the data between data owners and data mining experts to extract hidden knowledge and patterns. Watermarking has been proved as a right-protection mechanism that provides detectable evidence for the legal ownership of a shared dataset, without compromising its usability under a wide range of data mining for digital data in different formats such as audio, video, image, relational database, text and software. Time series biomedical data such as Electroencephalography (EEG) or Electrocardiography (ECG) is valuable and costly in healthcare, which need to have owner protection when sharing or transmission in data mining application. However, this issue related to kind of data has only been investigated in little previous research as its characteristics and requirements. This paper proposes an optimized watermarking scheme to protect ownership for biomedical and healthcare systems in data mining. To achieve the highest possible robustness without losing watermark transparency, Particle Swarm Optimization (PSO) technique is used to optimize quantization steps to find a suitable one. Experimental results on EEG data show that the proposed scheme provides good imperceptibility and more robust against various signal processing techniques and common attacks such as noise addition, low-pass filtering, and re-sampling.

scholarly journals A Review on Various Algorithms used in Machine Learning

2019 ◽  
pp. 915-920
Author(s):  
Divya Chaudhary ◽  
Er. Richa Vasuja
Keyword(s):  
Machine Learning ◽  
Data Mining ◽  
New Technologies ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Learning System ◽  
Training Set ◽  
Learning Data ◽  
Do So

In today's scenario all of data is being generated by everyone of us . so it becomes vital for us to handle this data. To do so new technologies are being developed such as machine learning, data mining etc. This paper gives the study related to machine learning(ML).Precise approximations are repetitively being produced by Machine Learning algorithms. Machine learning system effectively “learns” how to guess from training set of completed jobs. The main purpose of the review is to give a jagged estimate or overview about the mostly used algorithms in machine learning.

scholarly journals O mundo estava calado quando nós morremos: aspectos identitários em Meio Sol Amarelo, de Chimamanda Ngozi Adichie

2017 ◽  
Vol 1 (37) ◽  
pp. 71
Author(s):  
Lilia Dos Anjos Afonso ◽  
Vanessa Riambau Pinheiro
Keyword(s):  
Western Society ◽  
Contemporary World ◽  
Identity Based ◽  
Do So

In 2009, at a conference about technology, entertainment and design, Chimamanda Ngozi Adichie presented a speech in which she advocated the idea that people should be open to the multiple existing stories about the facts that impact our society, fleeing from the idea, actually from the danger of one story only. In this sense, we focus our attention on the fact that we generally believe that there is only one version of the facts about people who form a people. We are used to having only this conception and this is what the text from Meio Sol Amarelo (2006) attempts to undo in relation to the Nigerians or in relation to the peoples that are part of the Nigerian nation. In this article we intend to analyze the conceptions of identity present in the work, from the perspective of the events leading up the narrative. In order to do so, we support our analysis in the conceptions of identity based on Bauman (2004) and Hall (2006). This analytic context culminates in the perspective of the fragmented identities of the postmodern and contemporary world, and, on this contemporaneity, we take Agamben’s (2009) thinking as base. These conceptions lead, therefore, to the comprehension that it is necessary to undo the pre-established ideas about Africa and the countries that are part of Africa as a continent composed of diverse peoples, interests and customs, which cocomitantly lead us to undo other pre-constructed established in our Western society

Sign in / Sign up

Export Citation Format

Share Document