Application of Deep Autoencoders for Novelty and Anomaly Detection in Well Testing Data Analysis

2021 ◽  
Author(s):  
A.R. Valeev ◽  
D.E. Syresin ◽  
I.V. Vrabie
Keyword(s):  
Data Analysis ◽  
Anomaly Detection ◽  
Well Testing ◽  
Testing Data

Coming Together Through Falling Apart

2019 ◽  
Vol 40 (2) ◽  
pp. 151-168
Author(s):  
Heather Churchill ◽  
Jeremy M. Ridenour
Keyword(s):  
Data Analysis ◽  
Qualitative Data ◽  
Structural Changes ◽  
Systematic Approach ◽  
Qualitative Approach ◽  
Psychological Assessments ◽  
Transference And Countertransference ◽  
Testing Data ◽  
Psychoanalytically Oriented Psychotherapy

Abstract. Assessing change during long-term psychotherapy can be a challenging and uncertain task. Psychological assessments can be a valuable tool and can offer a perspective from outside the therapy dyad, independent of the powerful and distorting influences of transference and countertransference. Subtle structural changes that may not yet have manifested behaviorally can also be assessed. However, it can be difficult to find a balance between a rigorous, systematic approach to data, while also allowing for the richness of the patient’s internal world to emerge. In this article, the authors discuss a primarily qualitative approach to the data and demonstrate the ways in which this kind of approach can deepen the understanding of the more subtle or complex changes a particular patient is undergoing while in treatment, as well as provide more detail about the nature of an individual’s internal world. The authors also outline several developmental frameworks that focus on the ways a patient constructs their reality and can guide the interpretation of qualitative data. The authors then analyze testing data from a patient in long-term psychoanalytically oriented psychotherapy in order to demonstrate an approach to data analysis and to show an example of how change can unfold over long-term treatments.

scholarly journals KONSEPSI PEMBERDAYAAN ZAKAT PRODUKTIF

ALQALAM ◽  
2018 ◽  
Vol 35 (1) ◽  
pp. 51
Author(s):  
Ridwan Nurdin ◽  
Muhammad Iqbal ◽  
Muhadi Khalidi
Keyword(s):  
Data Analysis ◽  
Data Reduction ◽  
Qualitative Method ◽  
Relevant Literature ◽  
Research Data ◽  
Qualitative Approach ◽  
Daily Activities ◽  
Data Presentation ◽  
Data Compilation ◽  
Testing Data

This study discusses the empowerment of productive zakat aimed at fostering the welfare of mustahik. This research is a programme on the implementation of the Zakat Amil Agency in the distribution of zakat. This research uses qualitative method in order for it be relevant to the results achieved. The sources of the data in this study are relevant literature both in the form of books, journals and articles used to compile theories about problems that are the objects of the research. Based on our findings, the mustahik receive zakat from the Zakat Amil Agency with the scheme of productive zakat. In relation to the data compilation in this study, the techniques used include the activities and the development of the Zakat Amil Agency in daily activities to manage zakat and mustahik’s productive zakat in organizing the programmes. Data analysis was conducted by structuring data in the form of compiling, classifying and testing data during the research. Data analysis was carried out to describe the processes and results of examinations from transcripts and notes and other materials. In relation to the qualitative approach, the data analysis is conducted in three steps, namely data reduction, data presentation, and reduction of conclusions.

Anomaly Detection for Inferring Social Structure

2010 ◽  
pp. 1797-1803
Author(s):  
Lisa Friedland
Keyword(s):  
Data Analysis ◽  
Anomaly Detection ◽  
Social Structure ◽  
Small Groups ◽  
Analysis Data ◽  
Data Sets ◽  
Complex Data ◽  
Detection Approach ◽  
Complex Data Sets ◽  
Data Points

In traditional data analysis, data points lie in a Cartesian space, and an analyst asks certain questions: (1) What distribution can I fit to the data? (2) Which points are outliers? (3) Are there distinct clusters or substructure? Today, data mining treats richer and richer types of data. Social networks encode information about people and their communities; relational data sets incorporate multiple types of entities and links; and temporal information describes the dynamics of these systems. With such semantically complex data sets, a greater variety of patterns can be described and views constructed of the data. This article describes a specific social structure that may be present in such data sources and presents a framework for detecting it. The goal is to identify tribes, or small groups of individuals that intentionally coordinate their behavior—individuals with enough in common that they are unlikely to be acting independently. While this task can only be conceived of in a domain of interacting entities, the solution techniques return to the traditional data analysis questions. In order to find hidden structure (3), we use an anomaly detection approach: develop a model to describe the data (1), then identify outliers (2).

scholarly journals A tool for Swarm satellite data analysis and anomaly detection

PLoS ONE ◽  
2019 ◽  
Vol 14 (4) ◽  
pp. e0212098 ◽  
Author(s):  
Vyron Christodoulou ◽  
Yaxin Bi ◽  
George Wilkie
Keyword(s):  
Data Analysis ◽  
Anomaly Detection ◽  
Satellite Data ◽  
Swarm Satellite

scholarly journals Effect of sodium metabisulfite gel on the bond strength of dentin of bleached teeth

2018 ◽  
Vol 12 (02) ◽  
pp. 163-170
Author(s):  
Henrique Heringer Vieira ◽  
Josè Carlos Toledo ◽  
Anderson Catelan ◽  
Thayla Hellen Nunes Gouveia ◽  
Flávio Henrique Baggio Aguiar ◽  
...  
Keyword(s):  
Hydrogen Peroxide ◽  
Data Analysis ◽  
Statistical Analysis ◽  
Bond Strength ◽  
Deleterious Effect ◽  
Statistical Difference ◽  
Dental Composites ◽  
Sodium Metabisulfite ◽  
Application Time ◽  
Testing Data

ABSTRACT Objective: This study aimed to evaluate the effect of the application of sodium metabisulfite (SMB) on the bond strength of bleached teeth. Materials and Methods: The study was divided into two parts. The first part evaluated the application of various concentrations of SMB for 1 h prior to the completion of bonding procedures. Fifty blocks were divided into five groups (n = 10): control; bleaching with 35% hydrogen peroxide (HP); HP + 5% SMB; HP + 12.5% SMB; and HP + 25% SMB. The second part evaluated the application of 25% gel SMB to either enamel or dentin, including the application time. Sixty blocks were divided into six groups (n = 10): control; bleaching with 35% HP; HP + 25% SMB for 1 h in enamel; HP + 25% SMB for 1 h in dentin; HP + 25% SMB for 10 min in enamel; and HP + 25% SMB for 10 min in dentin. Statistical Analysis: Following the completion of microshear bond testing, data were analyzed using one-way analysis of variance as well as Tukey's and Dunnett's tests. Results: In part 1, data analysis revealed statistical differences (P < 0.0001) between HP and HP + 5% SMB. No statistical differences were found between the control and both HP + 12.5% SMB and HP + 25% SMB. Part 2 revealed a statistical difference (P = 0.001359) only between the bleached group and others. Conclusions: The use of 25% SMB gel immediately after bleaching was able to reverse the deleterious effect of bleaching on the bond strength of dental composites to dentin.

Sign in / Sign up

Export Citation Format

Share Document