Data Essays

  • Outliers In Data Mining

    784 Words  | 4 Pages

    Abstract- Outlier detection is an active area for research in data set mining community. Finding outliers from a collection of patterns is a very well-known problem in data mining. Outlier Detection as a branch of data mining has many applications in data stream analysis and requires more attention. An outlier is a pattern which is dissimilar with respect to the rest of the patterns in the data set. Detecting outliers and analyzing large data sets can lead to discovery of unexpected knowledge in area

  • Pros And Cons Of Data Mining

    5709 Words  | 23 Pages

    Data mining can be viewed as a result of the normal development of information technology Since 1960, database and information technology has been growing methodically from primitive file processing systems to complicated and prevailing database systems [11] [13]. Figure 1.1: History of data base system and data mining Data mining drives its name for searching a important information from a large database to utilize this information in better way. It is, though, a misnomer, as mining for gold

  • Nt1310 Unit 3 Data Analysis

    1576 Words  | 7 Pages

    spatial or geographical data. FOSS; Free or Open Source Software. FOSS programs have licenses that allow users to freely run the program for any purpose, modify the program as they want, and also to freely distribute copies of either the original version or their own modified version. ILWIS; Integrated Land and Water Information System is a GIS / Remote sensing software for both vector and raster processing. ILWIS features include digitizing, editing, analysis and display of data as well as production

  • Information Technology: Data Mining

    1269 Words  | 6 Pages

    1.1. DATA MINING Data mining refers to extracting or mining knowledge from large amounts of data. Data mining has attracted a great deal of attention in the information industry and in society as a whole in recent years, due to the wide availability of huge amounts of data and the forthcoming need for turning such data into useful information and knowledge. The information and knowledge gained can be used for applications ranging from market analysis, fraud detection, and customer retention, to

  • Privacy Issues In Data Mining

    954 Words  | 4 Pages

    Data mining is the computational process of discovering patterns in large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and database systems. The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use. Aside from the raw analysis step, it involves database and data management aspects, data preprocessing, model and inference considerations, interestingness

  • Big Data In Social Media

    766 Words  | 4 Pages

    What is Big Data and how does it impacts social media? The advent of time and technology has brought greater significance to the use of data. The cut throat competition among businesses today requires them to harness a huge amount of information for their advantage. It has become important for businesses to extract and analyze crucial data in order to gain a larger understanding of market trends and patterns. And, this examination would eventually lead to birth of plans and polices for an organization’s

  • Knowledge Discovery In Data Mining

    710 Words  | 3 Pages

    discovery also known as data mining is the processes involve penetration into tremendous amount of data with the support from computer and web technology for examining the data. Data mining is a process of discovering interesting knowledge by extracting or mining the data fromlarge amount of data and the process of finding correlations or patterns among dozens of fields in large relational databases [3, 4]. Privacy Preserving in Data Publishing (PPDP) is very important in data mining when publishing

  • Data Mining Case Study

    2168 Words  | 9 Pages

    Group Assignment a. Discuss the two data mining methodologies The process of going through massive sets of data looking out for unsuspected patterns which can provide us with advantageous information is known as data mining. With data mining, it is more than possible or helping us predict future events or even group populations of people into similar characteristics. Cross Industry Standard Process for Data Mining (CRISP-DM) is a 6-phase model of the entire data mining process which is commonly used

  • Obtain Qualitative Data

    1591 Words  | 7 Pages

    mixed research methods in order to obtain qualitative and quantitative data. The qualitative data will be acquired through the review of literature as well as the analysis of other sources so that one can understand what previous research was done on the topic and how to formulate a response to the hypothesis from one’s own discoveries as well as other research sources. The primary research is found through quantitative data, which will be attained from an experiment that will determine whether the

  • Data Science Vs Statistics Essay

    1135 Words  | 5 Pages

    Data Science vs Statistics Data science is one of the rapidly emerging trends in computing and is a vast multi-disciplinary area. Data science combines the application of subjects namely computer science, software engineering, mathematics and statistics, programming, economics, and business management. Data science is based on the collection, preparation, analysis, management, visualization and storage of large volumes of information. Data science in simple terms can be understood as having strong

  • Big Data In Human Resource Management

    975 Words  | 4 Pages

    Abstract Big data is everywhere. Big data revolution is creating paths to collect and analyze information of varying sizes, types and volume. It’s not only used in sectors like marketing, sales and product development. The potential use of big data is also spread to HR and Finance which help in finding new insights and strategic decision making. With big data, HR has exceptional opportunities to become more data driven analytical and strategic in the way it obtains talent. Utilizing the power of

  • Case Study: Spyware Detection Using Data Mining

    1660 Words  | 7 Pages

    Spyware Detection Using Data Mining Prof. Mahendra Patil Atharva College Of Engineering Head Of Department(CS) 2nd line of address onlymahendra7@yahoo.com Karishma A. Pandey Atharva College Of Engineering 1st line of address 2nd line of address pandeykarishma5@gmail.com Madhura Naik Atharva College Of Engineering 1st line of address 2nd line of address madhura264@gmail.com Junaid Qamar Atharva College Of Engineering 1st line of address 2nd line of address junaiddgreat@gmail.com

  • Example Of A Longitudinal Survey Essay

    414 Words  | 2 Pages

    types of survey designs: Cross-sectional design is a survey which is conducted one time to a sample, resulting data on the measured features as they present at the point of the survey and Longitudinal survey designs is a survey which can be repeated to the same subjects at different times. In a cross-sectional survey, research may be equated to a snapshot of the phenomenon of concern and data are collected at one point in time from a sample selected to describe an approximately greater population (Saris

  • Nt1330 Unit 5 Paper

    411 Words  | 2 Pages

    4.1) Application Based Performance Tips The following tuning tips, based on the applications running on IIS, can help administrators with IIS management and optimize the performance of IIS. 4.1.1) Remove competing applications and services So as to give the client the most ideal execution, IIS must have the important equipment assets: CPU, plate and memory. Essential IIS observing will show whether the assets vital are accessible. Different applications and administrations on the same PC might

  • Practical Application Of Nursing Theories

    869 Words  | 4 Pages

    comprehensive ,conceptual and social work, how different organizations’ operates why people interact in certain ways . They different ways through which to look at complicated problems and social issues , focusing their attention on different aspects of the data and proving a frame work

  • Nt1310 Unit 4 Component Analysis

    331 Words  | 2 Pages

    multidimensional objects of lower dimensions. There is one orthogonal (linear) transformation for each dimension (mode); hence multilinear. This transformation aims to capture as high a variance as possible, accounting for as much of the variability in the data as possible, subject to the constraint of mode-wise orthogonality. MPCA is a multilinear extension of principal component analysis (PCA). The major difference is that PCA needs to reshape a multidimensional object into a vector, while MPCA operates

  • Essay On Missing Data

    875 Words  | 4 Pages

    Whether it relies on primary or secondary data, issues with missing data are constant and even significant in any form of research. (S1) Irrespective of the environment, subject matter and database used, missing values occur. Missing values are those situations where no data is stored for a variable in a given observation. (S2) Missing data are variables without observations or simply questions without answers. (S4) If any data on any variable from any participant is not present, the researcher

  • The Comcast Competitive Advantage

    816 Words  | 4 Pages

    competitor is measuring the executive support of analytics. At present, there is no shortage of this within Comcast and will only grow as time goes on. A growing mantra of leadership at the company is to support your decisions with data and to only sell new ideas if they have the data to back them up. Often this translates to business intelligence teams working directly with senior management to prove or disprove hypothesis on processes or behaviors that lead to strategic decisions within the company. Upon

  • Books Are Dangerous By Frank Furedi Critical Analysis

    1055 Words  | 5 Pages

    There is no single version of the truth. This statement holds, whether discussing history or statistics. Notably, in business analytics, professions acknowledge that data can be interpreted in many different ways. Naturally, this principle can be applied to literature. Not only can one piece of writing be understood differently by its audience, but an author can interpret a certain topic in a completely unique way from another writer. This phenomenon can be seen in the two distinct pieces Superman

  • Nt1310 Unit 2 Lab 5.1 Ignet

    604 Words  | 3 Pages

    5.1.1. Standard Process First part Coming from the field the data was downloaded from the two GPS bases into the GPS controllers. Connect the GPS controllers to the computer and open the Trimble Business Center to import data from GPS receivers. Second Part Set the coordinate system in the software as to match the coordinate system which was used on the field. Set the accuracy of control points to 5 cm horizontal and 10 cm vertical which is the National standard accuracy required for control survey