Data Mining

What is Data Mining?

Data Mining studies algorithms and computational paradigms that allow computers to find patterns and regularities in databases, perform prediction and forecasting, and generally improve their performance through interaction with data. It is currently regarded as the key element of a more general process called Knowledge Discovery that deals with extracting useful knowledge from raw data. The knowledge discovery process includes data selection, cleaning, coding, using different statistical and machine learning techniques, and visualization of the generated structures. The course will cover all these issues and will illustrate the whole process by examples. Special emphasis will be give to the Machine Learning methods as they provide the real knowledge discovery tools. Important related technologies, as data warehousing and on-line analytical processing (OLAP) will be also discussed. The students will use recent Data Mining software. Enrollment in this course is limited to 15 students.

Data Mining Training Syllabus:-

  1. Introduction to Data Mining
    • What is data mining?
    • Related technologies – Machine Learning, DBMS, OLAP, Statistics
    • Data Mining Goals
    • Stages of the  Data Mining Process
    • Data Mining Techniques
    • Knowledge Representation Methods
    • Applications
    • Example: weather data
  2. Data Warehouse and OLAP
    • Data Warehouse and DBMS
    • Multidimensional data model
    • OLAP operations
    • Example: loan data set
  3. Data preprocessing
    • Data cleaning
    • Data transformation
    • Data reduction
    • Discretization and generating concept hierarchies
    • Installing Weka 3 Data Mining System
    • Experiments with Weka – filters, discretization
  4. Data mining knowledge representation
    • Task relevant data
    • Background knowledge
    • Interestingness measures
    • Representing input data and output knowledge
    • Visualization techniques
    • Experiments with Weka – visualization
  5. Attribute-oriented analysis
    • Attribute generalization
    • Attribute relevance
    • Class comparison
    • Statistical measures
    • Experiments with Weka – using filters and statistics
  6. Data mining algorithms: Association rules
    • Motivation and terminology
    • Example: mining weather data
    • Basic idea: item sets
    • Generating item sets and rules efficiently
    • Correlation analysis
    • Experiments with Weka – mining association rules
  7. Data mining algorithms: Classification
    • Basic learning/mining tasks
    • Inferring rudimentary rules: 1R algorithm
    • Decision trees
    • Covering rules
    • Experiments with Weka – decision trees, rules
  8. Data mining algorithms: Prediction
    • The prediction task
    • Statistical (Bayesian) classification
    • Bayesian networks
    • Instance-based methods (nearest neighbor)
    • Linear models
    • Experiments with Weka – Prediction
  9. Evaluating what’s been learned
    • Basic issues
    • Training and testing
    • Estimating classifier accuracy (holdout, cross-validation, leave-one-out)
    • Combining multiple models (bagging, boosting, stacking)
    • Minimum Description Length Principle (MLD)
    • Experiments with Weka – training and testing
  10. Mining real data
    • Preprocessing data from a real medical domain (310 patients with Hepatitis C).
    • Applying various data mining techniques to create a comprehensive and accurate model of the data.
  11. Clustering
    • Basic issues in clustering
    • First conceptual clustering system: Cluster/2
    • Partitioning methods: k-means, expectation maximization (EM)
    • Hierarchical methods: distance-based agglomerative and divisible clustering
    • Conceptual clustering: Cobweb
    • Experiments with Weka – k-means, EM, Cobweb
  12. Advanced techniques, Data Mining software and applications
    • Text mining: extracting attributes (keywords), structural approaches (parsing, soft parsing).
    • Bayesian approach to classifying text
    • Web mining: classifying web pages, extracting knowledge from the web
    • Data Mining software and applications

WHY CHOOSE US FOR DATA MINING TRAINING IN MOHALI ?

Data Mining Training in Mohali can become the best career option for students and it has some reason to sat this phrase.

  • We provide flexible class timings according to student’s convenience and availability.
  • We support any training with more practical sessions & real-time scenarios.
  • Our way of training makes the student capable of working on live projects & latest technologies.

 

ITRONIX TRAINER’s PROFILE FOR DATA MINING TRAINING IN MOHALI

Data Mining trainers at ITRONIX SOLUTIONS:

  • Our Expertise is fully up-to-date in the subjects & have hands-on experience in real-world industry application.
  • Have received awards and recognition from our partners and various recognized IT Organizations.
  • Our expertise is certified in their particular field.
  • Have received awards from top leading brands & our partner like Google, IBM, Microsoft & Intel.
  • Our trainer for this Data Mining Training has hands-on experience in Data Mining , including an immense year of experience teaching Data Mining training for entrepreneurs and professionals.

 

ITRONIX’S Placement Assistance

Being one of the top Data Mining Training Institute and a Certified Google Partner, Itronix Solutions deals with 100% Job Placements for Eligible Students after successful completion of the course.

  • ITRONIX helps in Learn how to keep yourself updated with latest trends and technologies.
  • ITRONIX helps in updating your resume according to the job requirement
  • ITRONIX helps in sorting and training the candidates according to company requirement.
  • ITRONIX helps in Interview Training Questions and Answers, Spoken English, Group Discussions, Mock Interviews, Presentation skills to prepare students to face a challenging interview situation with ease.
  • ITRONIX helps in providing placement assistance in top IT FIRMS like Google, Facebook, Sasken, Amazon, HCL, TCS, Infosys, Wipro, Intel, Robert Bosch, Mindtree, Accenture and many more.

ITRONIX SOLUTIONS Course duration for Data Mining Industrial Training in Mohali

 Fast Track Training Program (6+ hours daily)

  • Regular Classes(Morning, Daytime & Evening)
  • Weekend Training Classes(Saturday, Sunday & Holidays)

Top 25 Reasons to Choose ITRONIX for Data Mining Training in Mohali

  • Data Mining training in Mohali is designed according to current IT field scenarios.
  • We offer the best Data Mining training and placement in Mohali with well-defined training modules & curriculum
  • We facilitate regular, weekend and personal Data Mining training in Mohali.
  • We have one of the biggest team of certified expertise with 7+ years of real industry experience.
  • Mentors of Data Mining training in Mohali helps in major project training, minor project training, live project preparation, interview preparation, and job placement support.
  • Smart labs with fully equipped &latest equipment’s.
  • 24×7 lab facility. Students are free to access the labs for an unlimited period of hours as per their own preferred timings.
  • Smart classrooms fully equipped with projectors, live racks, Wi-Fi connectivity, digital pads. We have the latest labs equipment.
  • Weekly Group Discussions.
  • On training included mock test series, interview preparation, group discussions
  • Free of cost weekly seminars on personality development & personal presentation.
  • A series of Study Material provided: Books, PDF’s, Video Lectures, Sample questions, Interview Questions (Technical and HR), and live Projects.
  • PG/Flats facilities available at Rs.4,500/- per month for CCNP Data Center training in Mohali .
  • 24*7 assistance from our expertise.
  • Globally recognized course completion certification.
  • Extra Time Slots (E.T.S.) for Practical ’s, Absolutely Free.
  • Doubt Sessions on weekends.
  • The ability to retake the class at no-charge as often as desired.
  • One-on-One attention and guidance by our trainers.
  • Instructors help students to take knowledge of complex technical concepts.
  • Payment options: Cheque, Cash, Credit Card, Debit card, Net Banking, Paytm, Google Pay.
  • We are committed to helping students achieving their desired goals
  • Our years of experience helps us in delivering true value solutions to students, professionals, and entrepreneurs.
  • Success in ITRONIX SOLUTIONS gives students admission to the world’s best MNC’s
  • ITRONIX SOLUTIONS is passionate about the education of students, this factor makes us an extremely popular & first choice for learners.