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DLK Career Development Centre in Chennai is your destination for hands-on Data Mining Workshop Training in chennai. In today’s data-driven world, understanding how to extract valuable insights from vast datasets is a vital skill. Our workshop training program equips you with the knowledge and tools to excel in the field of data mining. Whether you are a beginner looking to kickstart your career or a professional aiming to enhance your skills, DLK Chennai’s comprehensive approach ensures you are well-prepared to tackle real-world data mining challenges.

Our Data Mining Workshop Training in Chennai is designed to provide a practical and in-depth understanding of data mining techniques and methodologies. Led by experienced trainers, this program combines theory with hands-on projects to give you a competitive edge in the job market. By enrolling with DLK Chennai, you’re taking a significant step towards a successful career in data mining. Join us today and acquire the expertise to unearth valuable knowledge from complex datasets.

DLK Career Development Center holds out top fine workshop in Chennai with an exceedingly skillful mixture of gifted instructors, outstanding and smooth – read Inplant materials, and a first-rate studying surroundings that actually shelve our Inplant phase inside the pinnacle schooling’s rack. Our Inplant allows theoretical standards to be bolstered with tremendous hands-on periods. Our Inplant allows you to offer both standard and custom courses with a view to manage you from being a novice to an App-Maker (real time utility improvement).

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Benefits Of Attending The Data Mining Workshop

Practical Experience. At the end of the Training you will be assisted on creating a project. Certificate and Software CD’s will be provided.


Our Curriculam

Section 1: Introduction (History Of Data Mining)

There is a colossal measure of information accessible in the Information Industry. This information is of no utilization until it is changed over into helpful data. It is important to dissect this colossal measure of information and concentrate valuable data from it. Extraction of data is not by any means the only procedure we have to perform; information mining likewise includes different procedures, for example, Data Cleaning, Data Integration, Data Transformation, Data Mining, Pattern Evaluation and Data Presentation. When every one of these procedures are over, we would have the capacity to utilize this data in numerous applications, for example, Fraud Detection, Market Analysis, Production Control, Science Exploration, and so forth.

Data Mining is the process of analyzing data from different perspectives to discover relationships among separate data items. Data mining software is one of several different ways to analyze data and can be used for several different reasons. It can be used to cut costs, increase revenue or for both.

Class/Concept Description
Mining of Frequent Patterns
Mining of Associations
Mining of Correlations

Section 2: Data Mining Issues
Section 3: Data Mining Evaluation
Section 4: Data Warehousing (OLAP) To Data Mining (OLAM)
Section 5: Project Work


Group of similar objects that differ significantly from other objects.


Pruning is a technique in machine learning that reduces the size of decision trees by removing sections of the tree that provide little power to classify instances.


Data Mining Decision Tree Induction. A decision tree is a structure that includes a root node, branches, and leaf nodes. Each internal node denotes a test on an attribute, each branch denotes the outcome of a test, and each leaf node holds a class label. The topmost node in the tree is the root node.

Models in Data mining help the different algorithms in decision making or pattern matching. The second stage of data mining involves considering various models and choosing the best one based on their predictive performance.

A data mining extension can be used to slice the data the source cube in the order as discovered by data mining. When a cube is mined the case table is a dimension.

Data mining extension is based on the syntax of SQL. It is based on relational concepts and mainly used to create and manage the data mining models. DMX comprises of two types of statements: Data definition and Data manipulation. Data definition is used to define or create new models, structures.

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I came here to learn web design. Before coming here I have no idea about that. But after 7 day session I gained little knowledge about that and I got some ideas about web designing.



Firstly i would like to thank the faculty members for training me on SEO. I had a very good experience in vlsa global service. faculty members are fully trained and shared their complete knowledge on SEO. All my doubts are cleared immediately Without any hesitation. Once again thanks to DLK Career Development Center.

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