Design of BBS with Visual Representation for Online Data Analysis

2008 ◽  
pp. 111-126
Author(s):  
Yasufumi Takama ◽  
Yuta Seo
Keyword(s):  
Data Analysis ◽  
Visual Representation ◽  
Online Data

Online Data Mining

2008 ◽  
pp. 75-83
Author(s):  
He´ctor Oscar Nigro ◽  
Sandra Elizabeth González Císaro
Keyword(s):  
Data Mining ◽  
Data Analysis ◽  
Online Analytical Processing ◽  
Intelligent Data Analysis ◽  
Online Data ◽  
Analytical Processing

Several approaches for intelligent data analysis are not only available but also tried and tested. Online analytical processing (OLAP) and data mining represent two of the most important approaches. They mainly emphasize different aspects of the data and allow deriving of different kinds of information. So far, these approaches have mainly been used in isolation (Schwarz, 2002).

scholarly journals Tackling social media data analysis

2019 ◽  
Vol 22 (2) ◽  
pp. 94-113 ◽  
Author(s):  
Violetta Wilk ◽  
Geoffrey N. Soutar ◽  
Paul Harrigan
Keyword(s):  
Social Media ◽  
Data Analysis ◽  
Exploratory Research ◽  
Online Data ◽  
Social Media Data ◽  
Content Type ◽  
Advantages And Disadvantages ◽  
Brand Advocacy ◽  
Qualitative Data Analysis Software ◽  
Media Data

PurposeThis paper aims to offer insights into the ways two computer-aided qualitative data analysis software (CAQDAS) applications (QSR NVivo and Leximancer) can be used to analyze big, text-based, online data taken from consumer-to-consumer (C2C) social media communication.Design/methodology/approachThis study used QSR NVivo and Leximancer, to explore 200 discussion threads containing 1,796 posts from forums on an online open community and an online brand community that involved online brand advocacy (OBA). The functionality, in particular, the strengths and weaknesses of both programs are discussed. Examples of the types of analyses each program can undertake and the visual output available are also presented.FindingsThis research found that, while both programs had strengths and weaknesses when working with big, text-based, online data, they complemented each other. Each contributed a different visual and evidence-based perspective; providing a more comprehensive and insightful view of the characteristics unique to OBA.Research limitations/implicationsQualitative market researchers are offered insights into the advantages and disadvantages of using two different software packages for research projects involving big social media data. The “visual-first” analysis, obtained from both programs can help researchers make sense of such data, particularly in exploratory research.Practical implicationsThe paper provides practical recommendations for analysts considering which programs to use when exploring big, text-based, online data.Originality/valueThis paper answered a call to action for further research and demonstration of analytical programs of big, online data from social media C2C communication and makes strong suggestions about the need to examine such data in a number of ways.

Online Data Mining

2005 ◽  
pp. 427-432
Author(s):  
Héctor Oscar Nigro ◽  
Sandra Elizabeth González Císaro
Keyword(s):  
Data Mining ◽  
Data Analysis ◽  
Online Analytical Processing ◽  
Intelligent Data Analysis ◽  
Online Data ◽  
Analytical Processing

Several approaches for intelligent data analysis are not only available but also tried and tested. Online analytical processing (OLAP) and data mining represent two of the most important approaches. They mainly emphasize different aspects of the data and allow deriving of different kinds of information. So far, these approaches have mainly been used in isolation (Schwarz, 2002).

scholarly journals A Codesign Framework for Online Data Analysis and Reduction

2019 ◽  
Author(s):  
Kshitij Mehta ◽  
Ian Foster ◽  
Scott Klasky ◽  
Bryce Allen ◽  
Matthew Wolf ◽  
...  
Keyword(s):  
Data Analysis ◽  
Online Data

scholarly journals OnDA: online data analysis and feedback for serial X-ray imaging

2016 ◽  
Vol 49 (3) ◽  
pp. 1073-1080 ◽  
Author(s):  
Valerio Mariani ◽  
Andrew Morgan ◽  
Chun Hong Yoon ◽  
Thomas J. Lane ◽  
Thomas A. White ◽  
...  
Keyword(s):  
Data Analysis ◽  
Open Source ◽  
Free Electron ◽  
Free Electron Laser ◽  
Online Data ◽  
Essential Information ◽  
X Ray ◽  
X Ray Imaging ◽  
The Face ◽  
Online Feedback

This article describes a free and open-source data analysis utility designed for fast online feedback during serial X-ray diffraction and scattering experiments:OnDA(online data analysis). Three complete real-time monitors for common types of serial X-ray imaging experiments are presented. These monitors are capable of providing the essential information required for quick decision making in the face of extreme rates of data collection. In addition, a set of modules, functions and algorithms that allow developers to modify the provided monitors or develop new ones are provided. The emphasis here is on simple, modular and scalable code that is based on open-source libraries and protocols.OnDAmonitors have already proven to be invaluable tools in several experiments, especially for scoring and monitoring of diffraction data during serial crystallography experiments at both free-electron laser and synchrotron facilities. It is felt that in the future the kind of fast feedback thatOnDAmonitors provide will help researchers to deal with the expected very high throughput data flow at next-generation facilities such as the European X-ray free-electron laser.

scholarly journals B-COURSE: A WEB-BASED TOOL FOR BAYESIAN AND CAUSAL DATA ANALYSIS

2002 ◽  
Vol 11 (03) ◽  
pp. 369-387 ◽  
Author(s):  
PETRI MYLLYMÄKI ◽  
TOMI SILANDER ◽  
HENRY TIRRI ◽  
PEKKA URONEN
Keyword(s):  
Data Analysis ◽  
Bayesian Network ◽  
Network Models ◽  
Causal Modeling ◽  
Analysis Tool ◽  
Support Material ◽  
Online Data ◽  
Web Based ◽  
User Friendly ◽  
Bayesian Network Models

B-Course is a free web-based online data analysis tool, which allows the users to analyze their data for multivariate probabilistic dependencies. These dependencies are represented as Bayesian network models. In addition to this, B-Course also offers facilities for inferring certain type of causal dependencies from the data. The software uses a novel "tutorial stylerdquo; user-friendly interface which intertwines the steps in the data analysis with support material that gives an informal introduction to the Bayesian approach adopted. Although the analysis methods, modeling assumptions and restrictions are totally transparent to the user, this transparency is not achieved at the expense of analysis power: with the restrictions stated in the support material, B-Course is a powerful analysis tool exploiting several theoretically elaborate results developed recently in the fields of Bayesian and causal modeling. B-Course can be used with most web-browsers (even Lynx), and the facilities include features such as automatic missing data handling and discretization, a flexible graphical interface for probabilistic inference on the constructed Bayesian network models (for Java enabled browsers), automatic prettyHyphen;printed layout for the networks, exportation of the models, and analysis of the importance of the derived dependencies. In this paper we discuss both the theoretical design principles underlying the B-Course tool, and the pragmatic methods adopted in the implementation of the software.

scholarly journals eSPC: an online data-analysis platform for molecular biophysics

2021 ◽  
Vol 77 (10) ◽  
Author(s):  
Osvaldo Burastero ◽  
Stephan Niebling ◽  
Lucas A. Defelipe ◽  
Christian Günther ◽  
Angelica Struve ◽  
...  
Keyword(s):  
Data Analysis ◽  
Dissociation Constants ◽  
Protein Complexes ◽  
Cellular Mechanisms ◽  
Online Data ◽  
Online Tools ◽  
Equilibrium Dissociation Constants ◽  
Equilibrium Dissociation ◽  
User Friendly ◽  
Analysis Platform

All biological processes rely on the formation of protein–ligand, protein–peptide and protein–protein complexes. Studying the affinity, kinetics and thermodynamics of binding between these pairs is critical for understanding basic cellular mechanisms. Many different technologies have been designed for probing interactions between biomolecules, each based on measuring different signals (fluorescence, heat, thermophoresis, scattering and interference, among others). Evaluation of the data from binding experiments and their fitting is an essential step towards the quantification of binding affinities. Here, user-friendly online tools to analyze biophysical data from steady-state fluorescence spectroscopy, microscale thermophoresis and differential scanning fluorimetry experiments are presented. The modules of the data-analysis platform (https://spc.embl-hamburg.de/) contain classical thermodynamic models and clear user guidelines for the determination of equilibrium dissociation constants (K d) and thermal unfolding parameters such as melting temperatures (T m).

scholarly journals Manajemen Pengorganisasian Dakwah : Strategi Lembaga Dakwah MWC NU Kaliwungu dalam Mengatasi Tantangan Globalisasi

2021 ◽  
Vol 1 (2) ◽  
pp. 109-123
Author(s):  
Nur Aenatul Khoria
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Organizational Management ◽  
Industrial Area ◽  
Religious Leaders ◽  
Online Data ◽  
The Public ◽  
Science Approach ◽  
The Face ◽  
The Media

This study aims to determine the management of the da'wah organization at MWC NU Kaliwungu and the strategy of the NU da'wah institution in overcoming the challenges of globalization. This study uses a da'wah science approach that focuses on the management principles of the da'wah organization. The data collection was obtained through an interview and library process that utilized reference sources in the form of books, journals, and other articles, both printed and online. Data analysis followed the Miles and Huberman model. The results of this study indicate that: First, the management of da'wah organization at MWC NU Kaliwungu in developing its da'wah tasks applies organizational management based on the forms of division of tasks. Second, the da'wah strategy carried out by MWC NU Kaliwungu in the face of the global industrial market which has begun to penetrate the Kaliwungu area which is marked by the establishment of KIK (Kendal Industrial Area), is more focused on reinforcing the teachings of NU's and Aswaja's to the public. . Therefore, the scholars developed a da'wah strategy through mental and spiritual strengthening activities with 1 billion sholawat with the community in each branch, held Lailatul Ijtima' regularly with religious leaders in the Kaliwungu- Kendal area, and used the media for da'wah by establishing cooperation with Radio Citra Kendal to be transferred to the MWC NU Da'wah Building.

scholarly journals KEMAMPUAN REPRESENTASI MATEMATIK PADA MATERI SEGI EMPAT SISWA SMP KELAS VII

2018 ◽  
Vol 1 (4) ◽  
pp. 765
Author(s):  
Euis Nurpadilah ◽  
Euis Eti Rohaeti ◽  
M Afrilianto
Keyword(s):  
Data Analysis ◽  
Research Method ◽  
Visual Representation ◽  
Middle Level ◽  
Mathematical Representation ◽  
Ability Level ◽  
Verbal Representation ◽  
Lower Base ◽  
The Subject ◽  
Basic Ability

This study aims to determine the ability of mathematical representation of the level of basic ability of students in the rectangular material. The research method used is descriptive. The subject of the research is VII grade SMPN in Karawang. The results of the data analysis showed that the students' upper ability level with the percentage of 83%, had high visual representation ability, medium symbol representation ability, medium verbal representation ability. Students with a middle-level skill level of 72%, have medium visual representation, medium symbol representation ability, and low verbal representation ability. Students with lower base ability level with 50% percentage, medium moderate representation ability, low symbol representation ability, very low verbal representation ability.

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