scholarly journals „Dane z ulicy” – propozycje i sugestie na temat wykorzystania materiałów z procesów partycypacyjnych

2019 ◽  
Vol 48 ◽  
pp. 35-54
Author(s):  
Kamil Brzeziński
Keyword(s):  
Decision Processes ◽  
Public Consultation ◽  
Data Sets ◽  
Huge Number ◽  
Local Authorities ◽  
Use Of Data ◽  
Participatory Techniques ◽  
Participatory Processes ◽  
Data Source ◽  
Using Data

Participation has gained enormous popularity in Poland in recent years. More and more local authorities – mostly due to the influence of city activists – are decided to: conduct public consultation, implementparticipatory budgeting and other forms and tools involving residents in co-decision processes on city issues. A huge number of data sets and reports are the results of these activities. It is assumed that loads of these documents might be an easily accessible data source for urban researchers. This paper presents own way and experience of using data from participatory budgeting conducted in Łódź, as well as some suggestions and possibilities of using data obtained by participatory techniques. Kamil Brzeziński, „Dane z ulicy” – propozycje i sugestie na temat wykorzystania materiałów z procesów partycypacyjnych [„Street data” – some suggestions on the use of data from participatory processes] edited by M. Nowak, „Człowiek i Społeczeństwo” vol. XLVIII: Kuchnia badań miejskich. Studia na temat praktyki empirycznej badaczy miasta [A backstage of urban research. Studies on the empirical practices of city research scientists], Poznań 2019, pp. 35–54, Adam Mickiewicz University. ISSN 0239-3271. Kamil Brzeziński, Uniwersytet Łódzki, Katedra Socjologii Wsi i Miasta, ul. Rewolucji 1905 r. nr 41, 90-214 Łódź, [email protected]

The Use of Data Explorer as a 3-D Reconstruction Tool for Microscopy Data Sets

1997 ◽  
Vol 3 (S2) ◽  
pp. 1131-1132
Author(s):  
Jansma P.L ◽  
M.A. Landis ◽  
L.C. Hansen ◽  
N.C. Merchant ◽  
N.J. Vickers ◽  
...  
Keyword(s):  
Volume Rendering ◽  
Laser Scanning ◽  
Three Dimensional ◽  
Building Blocks ◽  
General Purpose ◽  
Data Sets ◽  
Laser Scanning Confocal Microscope ◽  
Use Of Data ◽  
Using Data ◽  
Microscopy Data

We are using Data Explorer (DX), a general-purpose, interactive visualization program developed by IBM, to perform three-dimensional reconstructions of neural structures from microscopic or optical sections. We use the program on a Silicon Graphics workstation; it also can run on Sun, IBM RS/6000, and Hewlett Packard workstations. DX comprises modular building blocks that the user assembles into data-flow networks for specific uses. Many modules come with the program, but others, written by users (including ourselves), are continually being added and are available at the DX ftp site, http://www.tc.cornell.edu/DXhttp://www.nice.org.uk/page.aspx?o=43210.Initally, our efforts were aimed at developing methods for isosurface- and volume-rendering of structures visible in three-dimensional stacks of optical sections of insect brains gathered on our Bio-Rad MRC-600 laser scanning confocal microscope. We also wanted to be able to merge two 3-D data sets (collected on two different photomultiplier channels) and to display them at various angles of view.

scholarly journals IPTEKS PENYUSUNAN ATAU PEMUTAKHIRAN DATA PROFIL WAJIB PAJAK OLEH ACCOUNT REPRESENTATIVE DI KANTOR PELAYANAN PAJAK PRATAMA MANADO

2018 ◽  
Vol 2 (02) ◽  
Author(s):  
Ave Ceriti Sinjal ◽  
Syermi S. E Mintalangi
Keyword(s):  
Digital Technologies ◽  
Data Sources ◽  
Master File ◽  
Representative Data ◽  
Tax Amnesty ◽  
Use Of Data ◽  
Internal System ◽  
Data Source ◽  
Using Data ◽  
The Way

Account Representatives in KPP Pratama Manado have task to construct and update data profile of taxpayers. Valid source of data is a must for Account Representatives to do their task. By using internal datas from DJP such as SIDJP, MPN, Master File, Portal Intranet DJP or datas in Tax Amnesty are choices for Account Representatives in KPP Pratama Manado to run it, besides there are some way that can be used like digital technologies or do visit directly to taxpayers. The purpose of this study is to know the way Account Representative in KPP Pratama Manado using data sources given by DJP or KPP Pratama itself, digital technologies or visiting taxpayers in order to construct or update data profile of taxpayers. Suggestion for KPP Pratama Manado is to updates the use of data sources owned by DJP’s internal system and to maximizing digital technologies, such as telephone and electronic chatting application directly to taxpayers to help AR do their tasks effectively and efficiently.Keywords : taxpayer, profile, account representative, data source

scholarly journals Application of Data Mining Method Using Association Rules Apriori To Shopping Cart Analysis On Sale Transactions (Case Study Alfamidi Burnt Stone)

2020 ◽  
Vol 2 (2) ◽  
pp. 222-226
Author(s):  
Vanessa Siregar ◽  
Paska Marto Hasugian
Keyword(s):  
Data Mining ◽  
Knowledge Discovery In Databases ◽  
Data Sets ◽  
Cart Analysis ◽  
Data Mining Algorithms ◽  
Use Of Data ◽  
Large Size ◽  
Using Data ◽  
Mining Algorithms

Also Often data mining is called knowledge discovery in databases (KDD), ie activities include the collection, historical use of data to find regularities, patterns or relationships in data sets with a large size. The company may be interested to know if some groups consistently goods items purchased together. This study analyzes the transaction of data information retrieval from the sale of skin care and hair care using data mining algorithms priori Alfamidi Burnt Stones with the highest support value is 8% and the highest value is 5% confidance

scholarly journals Predictive Analysis using Data Mining Techniques for Heart Disease Diagnosis

2018 ◽  
Vol 7 (3.1) ◽  
pp. 166 ◽  
Author(s):  
Siddharth Joshi ◽  
Ashish Sasanapuri ◽  
Shreyash Anand ◽  
Saurav Nandi ◽  
Varsha Nemade
Keyword(s):  
Data Mining ◽  
Disease Diagnosis ◽  
Content Management ◽  
Data Sets ◽  
Data Mining Algorithm ◽  
Large Hospital ◽  
Use Of Data ◽  
Using Data ◽  
Heart Disease Diagnosis ◽  
Python Programming

Due to technological advancements in the field of computer science and data warehousing techniques. The healthcare industry ranging from small clinics to large hospital campuses use Content management system which has made the storage and accessing of data a faster option. But these large amounts of data generated are regrettably not mined and the data remains unexploited. Through this research we aim to demonstrate the use of Data Mining algorithm by using python programming language in order to create a desktop-based application which will cater to our aim. This Paper will analyze the performance by comparing the metrics of data analysis like accuracy, precision and recall in order introducing our software solution which tries to be more accurate than the work previously done on Cleveland, VA Hungarian data sets taken from UCI repository [1].  

Topic Modeling of the Research Papers' Citation Contexts: a Structure of an Author's Research Consumption

2021 ◽  
Vol 12 (3) ◽  
pp. 140-149
Author(s):  
S. I. Parinov ◽  
Keyword(s):  
Topic Modeling ◽  
Citation Network ◽  
Data Sets ◽  
Thematic Structure ◽  
Research Papers ◽  
Citation Network Analysis ◽  
Data Source ◽  
Using Data ◽  
New Research ◽  
Citation Contexts

Citation contexts from research papers, as a rule, contain information about the reasons and the character of using the cited research outputs. By extracting this information from the citation contexts, one can create different data sets for scientometric studies. The paper systematizes general possibilities of using data from the citation contexts for the development of the author-citation network analysis. As one of applications, the paper presents an approach to constructing the thematic structure of a research consumption based on topic modelling of the citation contexts from researchers papers. The thematic structure features built in the forms of a "word tree" and a flowchart are discussed. Possible directions of development of this approach are considered. The proposed thematic structure of the research consumption is a promising new data source for both scientometric studies and creation of new research services.

Assessment of Regional Explosion Discriminants Using Data Sets of Unparalleled Spatial Sampling

2012 ◽  
Author(s):  
Kate C. Miller ◽  
Lindsay L. Worthington ◽  
Steven Harder ◽  
Scott Phillips ◽  
Hans Hartse ◽  
...  
Keyword(s):  
Spatial Sampling ◽  
Data Sets ◽  
Using Data

scholarly journals Using Machine Learning Methods to Identify Particle Types from Doppler Lidar Measurements in Iceland

2021 ◽  
Vol 13 (13) ◽  
pp. 2433
Author(s):  
Shu Yang ◽  
Fengchao Peng ◽  
Sibylle von Löwis ◽  
Guðrún Nína Petersen ◽  
David Christian Finger
Keyword(s):  
Machine Learning ◽  
Weather Conditions ◽  
Dust Storms ◽  
Machine Learning Algorithms ◽  
Lidar Data ◽  
Data Sets ◽  
Doppler Lidar ◽  
Lidar Measurements ◽  
Using Data ◽  
Filter Noise

Doppler lidars are used worldwide for wind monitoring and recently also for the detection of aerosols. Automatic algorithms that classify the lidar signals retrieved from lidar measurements are very useful for the users. In this study, we explore the value of machine learning to classify backscattered signals from Doppler lidars using data from Iceland. We combined supervised and unsupervised machine learning algorithms with conventional lidar data processing methods and trained two models to filter noise signals and classify Doppler lidar observations into different classes, including clouds, aerosols and rain. The results reveal a high accuracy for noise identification and aerosols and clouds classification. However, precipitation detection is underestimated. The method was tested on data sets from two instruments during different weather conditions, including three dust storms during the summer of 2019. Our results reveal that this method can provide an efficient, accurate and real-time classification of lidar measurements. Accordingly, we conclude that machine learning can open new opportunities for lidar data end-users, such as aviation safety operators, to monitor dust in the vicinity of airports.

Embracing School Counselors’ Situatedness: Data-Based Decision Making as Fulfillment of a Complex Identity

2021 ◽  
Vol 24 (1_part_3) ◽  
pp. 2156759X2110119
Author(s):  
Brett Zyromski ◽  
Catherine Griffith ◽  
Jihyeon Choi
Keyword(s):  
Decision Making ◽  
School Counselors ◽  
School Counselor ◽  
Use Of Data ◽  
Counselor Identity ◽  
Using Data ◽  
Definition Of ◽  
Support Students ◽  
Students Success ◽  
Data Based Decision Making

Since at least the 1930s, school counselors have used data to inform school counseling programming. However, the evolving complexity of school counselors’ identity calls for an updated understanding of the use of data. We offer an expanded definition of data-based decision making that reflects the purpose of using data in educational settings and an appreciation of the complexity of the school counselor identity. We discuss implications for applying the data-based decision-making process using a multifaceted school counselor identity lens to support students’ success.

Building holistic and agile collection development and assessment

2015 ◽  
Vol 16 (1) ◽  
pp. 62-85 ◽  
Author(s):  
Cheri Jeanette Duncan ◽  
Genya Morgan O'Gara
Keyword(s):  
Quantitative Data ◽  
Holistic Approach ◽  
Assessment Model ◽  
Data Sets ◽  
Collection Development ◽  
Content Type ◽  
Qualitative And Quantitative ◽  
Institutional Goals ◽  
Scholarly Output ◽  
Use Of Data

Purpose – The purpose of this paper is to examine the development of a flexible collections assessment rubric comprised of a suite of tools for more consistently and effectively evaluating and expressing a holistic value of library collections to a variety of constituents, from administrators to faculty and students, with particular emphasis to the use of data already being collected at libraries to “take the temperature” of how responsive collections are in supporting institutional goals. Design/methodology/approach – Using a literature review, internal and external conversations, several collections pilot projects, and a variety of other investigative mechanisms, this paper explores methods for creating a more flexible, holistic collection development and assessment model using both qualitative and quantitative data. Findings – The products of scholarship that academic libraries include in their collections are expanding exponentially and range from journals and monographs in all formats, to databases, data sets, digital text and images, streaming media, visualizations and animations. Content is also being shared in new ways and on a variety of platforms. Yet the framework for evaluating this new landscape of scholarly output is in its infancy. So, how do libraries develop and assess collections in a consistent, holistic, yet agile, manner? Libraries must employ a variety of mechanisms to ensure this goal, while remaining flexible in adapting to the shifting collections environment. Originality/value – In so much as the authors are aware, this is the first paper to examine an agile, holistic approach to collections using both qualitative and quantitative data.

POSTPARTUM AMENORRHOEA IN RURAL EASTERN UTTAR PRADESH, INDIA

1998 ◽  
Vol 30 (2) ◽  
pp. 227-243
Author(s):  
K. N. S. YADAVA ◽  
S. K. JAIN
Keyword(s):  
Higher Education ◽  
Uttar Pradesh ◽  
Current Status Data ◽  
North India ◽  
Current Status ◽  
Data Sets ◽  
Survival Status ◽  
The Mean ◽  
The Difference ◽  
Using Data

This paper calculates the mean duration of the postpartum amenorrhoea (PPA) and examines its demographic, and socioeconomic correlates in rural north India, using data collected through 'retrospective' (last but one child) as well as 'current status' (last child) reporting of the duration of PPA.The mean duration of PPA was higher in the current status than in the retrospective data;n the difference being statistically significant. However, for the same mothers who gave PPA information in both the data sets, the difference in mean duration of PPA was not statistically significant. The correlates were identical in both the data sets. The current status data were more complete in terms of the coverage, and perhaps less distorted by reporting errors caused by recall lapse.A positive relationship of the mean duration of PPA was found with longer breast-feeding, higher parity and age of mother at the birth of the child, and the survival status of the child. An inverse relationship was found with higher education of a woman, higher education of her husband and higher socioeconomic status of her household, these variables possibly acting as proxies for women's better nutritional status.

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