data mining club contemporary trend

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 Technical Club: Data mining & Warehousing Core Discipline : Computer Science Engineering Mentor : Mr. V. Pathak, Assistant Professor , CSE Co-Mentor : 1. Mr. B. Pathak, Assistant Professor , CSE 2. Mrs. Seema Gaur, Assistant Professor , C SE Technical back ground and utility of th e club  The Club would focus largely on the data mining methods development and applications, with an eye on recent developments in data warehousing technologies. Data Mining can be de fined as the proc ess of getting hidden information from the piles of databases for analysis purposes. Data Mining is also known as Knowledge Discovery in Databases (KDD). It is essentially extraction of data from large databases for some specialized work. Data Mining has great importance in today's highly competitive business environment. A new concept of Business Intelligence data mining has evolved now, which is widely used by leading corporate houses to stay ahead of their competitors. Business Intelligence (BI) can help in providing latest information and used for competition analysis, market research, economical trends, consumer behaviour, industry research, geographical information analysis and so on. Business Intelligence Data Mining helps in decision-making. Data Mining applications are widely used in direct marketing, health industry, e- commerce, customer relationship management (CRM), FMCG industry, telecommunication industry and financial sector. Data mining is available in various forms like text mining, web mining, audio & video data mining, pictorial data mining, relational databases, and social networks data mining. The asso ciation with this club will create interest of students in this techn ological domain and inspire their creativity to innovate through practical learning and application oriented mindset. Undoubtedly , this is the aspect mainly seen in the engineering profession and thus definitely boost the career prospects and employability. With competence in this domain, students could positively look for exciting career in IT Industry and Premier Research Org anizations like ; ISRO, DRDO, etc.

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Page 1: Data Mining Club Contemporary Trend

8/12/2019 Data Mining Club Contemporary Trend

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Technical Club: Data mining & Warehousing

Core Discipline : Computer Science Engineering

Mentor : Mr. V. Pathak, Assistant Professor , CSE

Co-Mentor : 1. Mr. B. Pathak, Assistant Professor , CSE

2. Mrs. Seema Gaur, Assistant Professor , CSE

Technical back ground and utility of the club 

The Club would focus largely on the data mining methods development andapplications, with an eye on recent developments in data warehousing technologies.Data Mining can be defined as the process of getting hidden information from thepiles of databases for analysis purposes. Data Mining is also known as KnowledgeDiscovery in Databases (KDD). It is essentially extraction of data from largedatabases for some specialized work.

Data Mining has great importance in today's highly competitive businessenvironment. A new concept of Business Intelligence data mining has evolved now,which is widely used by leading corporate houses to stay ahead of their competitors.Business Intelligence (BI) can help in providing latest information and used forcompetition analysis, market research, economical trends, consumer behaviour,industry research, geographical information analysis and so on. BusinessIntelligence Data Mining helps in decision-making.

Data Mining applications are widely used in direct marketing, health industry, e-commerce, customer relationship management (CRM), FMCG industry,telecommunication industry and financial sector.

Data mining is available in various forms like text mining, web mining, audio & videodata mining, pictorial data mining, relational databases, and social networks datamining.

The association with this club will create interest of students in this technological

domain and inspire their creativity to innovate through practical learning and

application oriented mindset. Undoubtedly , this is the aspect mainly seen in the

engineering profession and thus definitely boost the career prospects and

employability. With competence in this domain, students could positively look for

exciting career in IT Industry and Premier Research Organizations like ; ISRO,DRDO, etc.

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What is Data Mining?

It is about answering user queries related to non-obvious /analytical processing based information

that amount to creation of knowledge base in any application domain. Major functions include

classification, clustering, prediction, and visualization.

The contemporary and future derivatives of data mining include Prescriptive Analysis.

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Market Share of Data mining application domains

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Major Research at Leading Universities and Companies stating future of Data Mining

Brain Function Project at MIT

NASA Projects

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Algorithmic Techniques

Bio_Inspired Algorithms

Graph Based Methods

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Parallel Processing Technology

Development Tools in Trend

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Career in Data Analytics