Data analysis techniques

Sentiment Analysis and Opinion Mining have emerged as highly popular fields for analyzing and extracting valuable information from textual data sourced from diverse platforms like Facebook, Twitter, and Amazon. These techniques hold a crucial role in empowering businesses to actively enhance their strategies by gaining comprehensive insights into customers' feedback regarding their products.

6p viengfa 28-10-2024 5 2   Download

Partitioning DFDs: a. The process of analyzing a DFD and deriving a series of manual procedures b. Adding controls to ensure the processes are done property c. The process of analyzing a DFD and deriving a series manual procedures and computer programs d. None of these answers Câu 162: Physical data flow diagram: a. describing processes in greater detail b. show sequencing processes in the order they must be executed c. show how the system operates or how the new system will be implemented d. all of these answers Câu 163: Physical DFDs a. show how the system is or...

29p itvovantien 23-06-2012 127 20   Download

Câu 1: A problem soling technique that decomposes a system its component parts while focusing on the business problem independent of technology is: a. Cause-and-effect analysis. b. System design. c. Joint application design(JAD). d. Systems analysis. Câu 2: A database is an organized collection of ____ related data. a. None of the others answers. b. logically. c. not. d. physically.

32p itvovantien 23-06-2012 110 18   Download

The research project deals with two different types of data for two separate analysis. The first analysis deals with normalised RNA-seq breast cancer data where machine learning techniques are used to classify and identify the biomarker of cancer. Second analysis deals with raw DNA methylated leukemia samples to determine the mutations.

102p runthenight04 02-02-2023 10 4   Download

The main objective of the study "Role of beliefs and past experience informing resort accommodation purchase behaviour : a study of Australian tourists" is: To segment the tourists using resorts in Australia; to propose a conceptual model which describes the factors that affect the travellers’ choice of resort hotels based on their beliefs along with the effect of past behaviour and; to test the model across the segments using multivariate data analysis techniques.

166p runthenight04 02-02-2023 16 2   Download

This paper focuses on exploring Machine learning methods to automate this process. The main challenge we face is in generating adequate training datasets to train the Machine learning model. Creating training data by manually segmenting real images is very labour-intensive, so we have instead tested methods of automatically creating synthetic training datasets which have the same attributes of the original images. The generated synthetic images are used to train a U-net Model, which is then used to segment the original bread dough images.

75p runordie3 06-07-2022 6 2   Download

Objectives: The main objective of the dissertation is to research and develop fuzzy clustering techniques on remote sensing image data in order to improve accuracy and improve clustering quality of clustering algorithms.

162p armyofthedead 23-06-2021 29 4   Download

The purpose of this study was to analyze the direct influence of job design and quality of work life on the affective commitment of teachers. This research method with a quantitative approach and data analysis techniques using path analysis.

8p lucastanguyen 01-06-2020 38 2   Download

This research was conducted with the aim to determine the effect of business capital, technology and human resources on the business performance of bag noken craftsmen in Merauke.

8p lucastanguyen 01-06-2020 31 4   Download

The design of this study uses an explanatory approach. The data analysis technique uses structural equation model (SEM) and sampling is limited to certain criteria (purposive sampling).

11p guineverehuynh 19-06-2020 23 4   Download

This paper presents a nuclear data sensitivity and uncertainty analysis of the effective delayed neutron fraction beff for critical and subcritical cores of the MYRRHA reactor using the continuous-energy Monte Carlo N-Particle transport code MCNP.

7p christabelhuynh 29-05-2020 25 1   Download

The study results demonstrated that the proposed holistic approach can help decision makers (DMs) to choose a suitable transshipment network for IWM.

14p tohitohi 22-05-2020 13 1   Download

This study aims at investigating the impact of globalization on CO2 emission in Vietnam. Empirical analysis is performed by employing autoregressed distributed lag approach on time series data for the period of 1990 to 2016.

14p tohitohi 22-05-2020 29 1   Download

This study aims to investigate the influence of green supply chain management practices on community empowerment and poverty reduction in the region of Indonesia. Primary data collection technique like questionnaire was adopted and a sample of 305 respondents was finally collected.

10p tohitohi 22-05-2020 45 3   Download

Research Methodology: Through the research process and learn about the work that shows: Most studies have applied both methods to locate research & quantitative; in which the majority of studies were carried out in-depth research into specific situations, and collecting data through observation techniques to use for regression analysis.

0p luanan014 19-07-2014 57 5   Download

A wide range of approaches has been applied to examine the quaternary structure of G protein-coupled receptors, the basis of such protein–protein interactions and how such interactions might modulate the pharmacology and function of these receptors. These include coimmunoprecipitation, var-ious adaptations of resonance energy transfer techniques, functional com-plementation studies and the analysis of ligand-binding data.

12p fptmusic 11-04-2013 52 3   Download

Membrane proteins are highly underrepresented in structural data banks due to tremendous difficulties that occur upon approaching their structural analysis. Inefficient sample preparation from conventional cellular expres-sion systems is in many cases the first major bottleneck.

13p inspiron33 25-03-2013 47 4   Download

Serial analysis of gene expression (SAGE) is a powerful technique for studying gene expression at the genome level. However, short SAGE tags limit the further study of related data. In this study, in order to identify a gene, we developed a semi-nested PCR-based method called the two-step analysis of unknown SAGE tags (TSAT-PCR) to generate longer 3¢-end cDNA fragments from unknown SAGE tags.

7p vinaphone15 28-02-2013 40 2   Download

Serial analysis of gene expression (SAGE) is a powerful technique to study gene expression at the genome level. However, a disadvantage of the short-ness of SAGE tags is that it prevents further study of SAGE library data, thus limiting extensive application of the SAGE method in gene expression studies. However, this problem can be solved by extension of the SAGE tags to 3¢ cDNAs.

12p viettel02 22-02-2013 50 4   Download

-Systematic and random error -Accuracy vs precision -Significant figures -Average and standard deviations ENVI 15 - Analytical Chemistry Lecture 2 Quality Assurance Quality Assurance/Quality Control (QA/QC) Review Harris Chapter 5 A program to produce high quality data with known uncertainty. ENVI 15 - Analytical Chemistry Lecture 2 .

11p doilan 26-01-2013 76 6   Download