Data Mining Assignments Using Rapid Miner

Data Mining Assignment Help

Data mining is an interdisciplinary sub-field of computer science that analyzes data from various perspectives and summarizes it into useful information. In other words, data mining is a powerful technology used in the extraction of hidden information from large databases. Data mining assignments give prominence to various aspects of the said discipline.

In addition, RapidMiner is the most popular and widespread open source data mining solution in world. It is a software tool applied for simple statistical evaluations such as regression, correlation analysis, clustering and classification of analytical procedures, parameter optimization and dimension reduction.

Data mining assignments are a mandatory coursework for students in UK, US and Australia. MyAssignmenthelp.com offers data mining assignments help online, data mining essays and data mining thesis help after conducting intricate data mining research.

How does Data Mining Work?

Data mining software analyzes the pattern of stored transaction data and evaluates the relationship between them based on the platform of open-ended user queries. Compose data mining assignments including these features. Data mining analytical software are mainly of the following types.

  • Statistical
  • Machine learning
  • Neural network

These three types of analytical tools are used to sought out the following relationships. Highlight the following in your data mining assignments.

Classes

Classes are used to locate the stored data in pre-determined groups. For instance, customer purchase data mining helps the retailer to determine the number of customer visits, the pattern of purchase etc. This information helps to enhance customer count and daily traffic in the shop. Data mining assignments draw attention in classes.

Clusters

Data items are clustered or grouped according to consumer preferences or by logical relationships. For an instance, the consumer affinities and market segments are determined by industry data mining. Data mining assignments include the following example.

Sequential patterns

Data mining is done to anticipate market trend and behavior pattern of customers. Data mining assignments emphasize on this.

Associations

Data Mining is done to identify associations within the industry. Data mining assignments point up associations.

Five Major Elements of Data Mining Assignments identified by MyAssignmenthlp.com

University students are recommended to consider five major elements of data mining while they are framing data mining assignments. Moreover, these five factors are considered highly salient by MyAssignmenthelp.com while crafting data mining assignments online.

  • Extraction, transformation and loading of transaction data into the data warehouse system
  • It stores and manage data in a multi-dimensional database
  • Utilizes application software to analyze the data mined
  • Allows access of data to information technology professionals and business analysts
  • Presents data in the useful format of tables and graphs

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RapidMiner Program in Details

RapidMiner is a software platform that performs a number of activities besides data mining. It is an independent application used for data mining, predictive analysis, text mining and business analysis. Implementation of new analytical methods, approaches, and comparison between them are made easy by RapidMiner.

RapidMiner is widely used in various application disciplines such as medicine, physics, mechanical engineering, chemistry, linguistics, social science etc. Data mining assignment is an inevitable task for University students representing any of the above- mentioned subject backgrounds.

Academic Courses on RapidMiner

RapidMiner training courses are designed for wide-ranging purposes that include business process analytics, data mining, predictive reporting and predictive analytics, web and text mining and significantly related topics. The courses and data mining assignments are intended to address extensive queries of beginners to intermediate users of RapidMiner.

Beginners course

The beginners’ course is a pathway to get started with the process of data mining by using RapidMiner Server and RapidMiner Studio. This subject is essential for the perfect preparation for certification exams that can qualify you as a certified RapidMiner expert, RapidMiner analyst or RapidMiner Master. For more, check our data mining assignments samples.

In order to qualify the beginner’s course, students have to execute the following data mining assignments on RapidMiner:

  1. RapidMiner custom essays and data mining assignments
  2. RapidMiner case study
  3. RapidMiner term papers
  4. RapidMiner homework
  5. Research papers on RapidMiner.

 Basic course

Basic course and data mining assignments on the said topic eventually include teaching of data mining foundations, advanced analysis etc. These significant courses enable the participants to identify process and solve the wide-ranging problems of the software domain by writing data mining assignments. Students are eligible to integrate advanced analytical tool into existing software infrastructure.

The initial two classes emphasize on the data processing procedures, transformation and loading of data etc. Students gain insight knowledge on the concepts of data mining using RapidMiner by writing numerous data mining assignments on the topic.

The third module of course illustrates the presentation of data mining results in an easy and interactive format. The basic course modules included in first and second chapters and data mining assignments is the key criteria to become a Certified RapidMiner Analysts. The integration class included in the third chapter is the first step towards expert level certification. Students gain complete knowledge on the areas of web applications and deployment using RapidMiner server.

Specialized courses

The specialized course on RapidMiner and data mining assignments plays a considerable part to offer deeper insight on the sub-fields of data mining and advanced analytics. These courses enhance the capability of analysts to solve high-end problems of software platforms with bullet-proof expertise. The knowledge of basic courses is a prerequisite for students who want to enhance their expertise by applying to specialized courses.

You can choose any two specialized courses among the following to become a certified RapidMiner Expert or Master. Data mining assignments is a mandatory coursework for University students.

  • Big Data with Hadoop
  • Text and Web Mining
  • Image processing

Beneficial Features of RapidMiner Software Platform

Data mining assignments experts focus on these features.

  • RapidMiner has a comfortable and user-friendly interface where the analyzed data are configured in a process view.
  • RapidMiner utilizes a modular concept in order to illustrate each step of an analysis by an operator (important in data mining assignments).
  • Data mining and machine learning procedures using RapidMiner include the following aspects:
  1. Data pre-processing
  2. Visualization
  3. Modeling
  4. Evaluation
  5. Data transformation
  6. Data loading
  7. Deployment
  • RapidMiner highlightd the following features in data mining assignments
  1. No need for programming due to its code-free and visual applications
  2. RapidMiner is available on all major operating systems and platforms
  3. Its main function is to model the process of data mining
  4. RapidMiner allows its users to work with various data sources such as Oracle, Microsoft SQL, Excel, Text Files, SPSS, Sybase, IBM DB2, Access, Ingres, Postgres, MySQL, Text files etc included in data mining assignments.

Successful Application of Data Mining

Application of data mining is successful in wide-ranging business industries. Early adopters of data mining technology are intended to apply the system in information-intensive industries that include direct mail marketing, financial services, better management of customer relationship, leveraging data warehouse etc.

However, in order to make application of data mining successful, two critical factors are essentially taken into account. Data mining assignments experts suggest the following:

  • A huge and well-integrated data warehouse
  • Well-defined understanding of the business process in which the data mining is applied.

The successful application of data mining using RapidMiner includes the following area which is also important in data mining assignments:

  • Diversified companies having huge domain of direct sales are seen to apply the process of data mining in order to highlight constructive prospects for its business. Data mining is used to identify attributes for high-end business prospects, analyzing the customer experience, in order to build unique recognition and segmentation in the industry.

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  • Companies that deal with consumer package goods essentially employ data mining technology in order to improve its sales to retailers. In order to comprehend the reasons for brand priority and store switch, it is important to mine data from consumer panels, competitor activity, and sales pattern. On analyzing the data, the manufacturer can reach their target market by implementing appropriate promotional strategies.

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  • Credit card companies leverage the data warehouse of customer transaction with the focus to identify customers who are likely to be interested in a new credit product. Application of data mining technology identifies customer’s affinity for a particular product.

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  • Analysis of the recent sales activities and evaluation of results helps the business organizations to determine marketing activities that would have a great impact in near future. Data mining include business performance and activities of competitors, information of local chain suppliers, dynamic analysis of data warehouse acts as the key attributes in decision-making process.

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