Essay: Data visualisation, analysis and mining

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  • Subject area(s): Information technology essays
  • Reading time: 3 minutes
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  • Published on: October 24, 2015
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  • Data visualisation, analysis and mining
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Application is a browser based analytic tool for exploration and visualization. This Software focuses on the innovations of the data exploration techniques of the analytics, modeling and visualization to generate new insight of value from large amount of the complex data.
This enables the analysis of the events expected to take places in the future and its more efficient and comprehensive understanding of past occurrences. Application gives user the power to explore and analyze temporal information from around the web about people, places, and things as well as the events that take place in relation to them. Exploration is the act of searching for the purpose of discovery of resources, information or new slave races.
Data visualization is a process where we can visually represent the data. Various types of information is been abstracted in some different forms that include various attributes and variables for the units of information. Data visualization contains Information Graphics and Information Visualization and Scientific Visualization and statistical graphics.
In the new century, data visualization has become an active area of research, teaching, and development. Data visualization technique having the Scope in different field of scope of data visualization. Two parts of data visualization technique are available Statistical graphics and Thematic cartography.
‘ Displaying data
‘ Displaying news
‘ Displaying connections
‘ Displaying websites
‘ Articles & resources
‘ Tools and services
All these subjects are related to graphics designing and Information re-presentation. On Computer science perspective we can categorized the fields into a various number of sub-fields: Visualization algorithms and techniques Volume visualization Information visualization Multi-resolution methods Modeling techniques and Interaction techniques and architectures Analysis of data is a process of inspecting, cleaning, transforming, and modeling data with the goal of highlighting various useful information, suggesting conclusions, and supporting decision making.
Data analysis has multiple facts of approaches, encompassing diverse techniques under a variety of names, in different business, science, and social science domains. Data analysis having multiple logic and approaches and encompassing diverse techniques under the variety of names in different business and science and social science domains.
Data mining technique is a particular in data analysis technique that focuses on the modeling and knowledge discovery for the Predictive rather than purely descriptive purposes. Business intelligences cover data analysis that depends heavily on aggregations and focusing on Business Information. In the statistical applications some people divide the data analysis into descriptive statistics and exploratory data analysis and confirmatory data analysis. EDA focuses on discovering new features in the data and CDA focuses on confirming falsifying existing hypotheses.
Predictive analytics focuses on application of statistical or structural models for predictive forecasting or Classification. While text analytics apply statistical linguistic and structural techniques to extract and to classify Information from textual sources as species of unstructured data.
The objectives are to:
‘ Suggest hypotheses about the causes of observed phenomena.
‘ Assess assumptions on which statistical inference will be based.
‘ Support the selection of appropriate statistical tools and techniques.
‘ Provide a basis for further data collection through surveys or experiments.
It index tens of thousands of sources from government sites and SEC filings to mainstream and niche media to blogs, Twitter feeds and more. We take the unstructured text as it’s published online and break it down into various data points before organizing, compiling and storing the newly structured data into one massive, carefully organized and ranked stream of time related information.
User can search and explore this data to find patterns, clusters, outliers, and anomalies. Application carefully organizes and ranks a massive stream of time-oriented information from online content so user can find patterns, clusters, outliers, and anomalies. Using this web application tools or using various API to generate data sets that user want to map, visualize, and use in statistical analysis.
1.2 ORGANIZATIONAL PROFILE
AERO SOFTWARES Incorporated in 1999, we are located in Bangalore.
AERO business intelligence was created with the objective of providing high quality, user-friendly, flexible and technologically superior software solutions to meet the expanding needs of our venerated customers in India and abroad. Also we have a wide range of services in the field of Embedded and Services for the various industries covering the entire range of operations. To deliver solutions which ensure persistent quality and loyalty to timeliness at competitive price to attain rabid trust and support of our admire customers.

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