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Papers tagged with "Data Mining"
A Survey on Collaborative Filtering Techniques for E-Commerce
Recommender Techniques Are A Primary Part Of The Information And E-commerce Ecosystem. They Represent A Powerful Method For Enabling Users To filter By Means Of Large Information And Product Spaces. Practically Decades Of Research On Col...
A LITERATURE REVIEW ON EXISTING TOOLS AND METHODS FOR RESEARCHES IN THE FIELD OF OPINION MINING
In Earlier Day’s Individuals Were Just Data Consumers Yet Since The Appearance Of Web 2.0 They Assume A More Vital Part In Distributed Data On The Web As Remarks And Surveys. The Client Produced Content Constrained Association To Focus...
SIMPLIFIED PARALLEL DATA PROCESSING ON LARGE WEIGHTED ITEMSET USING MAPREDUCE
The Collections Of Data Are Often Wont To Growth And Accessibility Of The Information. Its Necessary To Have Been With Business And For The Society. Frequent Item Set Mining Is Associate With The Data Processing Techniques. That Has Been...
RECOMMENDATION SYSTEM USING WEB DATA MINING
A Recommendation System Is An Enabling Mechanism To Overcome Information Overload Occurred When Shopping In An Internet Marketplace. It Uses Log Files To Get The Information About Users Accessing Patterns. Based On This Information The...
AN ALGORITHM FOR PRIVACY PRESERVTION OF HIGH UTILITY RARE ITEMSETS
Data Mining Is The Field Of Extraction Or Mining Of Important Information. The Mining Of Information Is Somehow Leading To The Loss Of Information Also Due To Semi-honest Adversaries And Fraudulent Parties. Thus, To Preserve The Data, C...
DATA ABSTRACTION AND VISUALIZATION
The Data Abstraction Is Most Comprehensive Topic And A Need Of Time, Although Lot Lots Of Abstraction And Summarization Tools Exit There Comes A Need For A Solution Which Could Not Just Abstract And Summarize Data As Per Need But Also H...
PARALLEL FIM USING HADOOP
Frequent Itemsets Mining (FIM)is The Initial Step For Deriving Association Rules. The Problem Related To FIM Is Its Significant Amount Of Time Consumption. When Datasets Become Excessively Large, Single Machine Algorithms Do Not Perform...
ROAD TRAFFIC ACCIDENT ANALYSIS USING IMPROVING ROAD SAFETY USING CLASSIFICATION ALGORITHM
Traffic Accidents Is A Major Public Health Problem, Causing Approximately 1.2 Million Deaths And 50 Million Injuries Worldwide Each Year. In Developing Countries, Interest Rates Between The Main Reason For Deaths And Injuries; In Partic...
A RESEARCH ON CLASSIFICATION ALGORITHMS FOR WEB SPAM USING FEATURE REDUCTION TECHNIQUES
Today Internet Has Become One Of Best Sources Of Information Which Is Result Of Faster Working Of Search Engines. But, Web Spam Attempts To Sway Search Engine Algorithm In Order To Boost The Page Ranking Of Specific Web Pages In Search...
“RAILWAY RESERVATION SYSTEM :CASE AND COMPARATIVE STUDY”
A Comparative Analysis Of Train Ticket Reservation System . In This Study We Are Include The Some Existing Approach Related To Train Ticket Reservation For Providing The Good Facilities To Passenger . This Case Study Is God Collection Of T...
EFFICIENT CENTRALISED SYSTEM FOR BIOMEDICAL DATA COLLECTION AND PREDICTION
Over The Past Two Decades, The Epidemic Of Various Diseases Has Challenged The Public Health Community To Fundamentally Rethink And Redesign The Framework For Calculating Preventive Measures Regarding These Infectious Diseases. This Pap...
A SURVEY ON COLLABORATIVE FILTERING TECHNIQUES FOR E-COMMERCE
Recommender Techniques Are A Primary Part Of The Information And E-commerce Ecosystem. They Represent A Powerful Method For Enabling Users To Filter By Means Of Large Information And Product Spaces. Practically Decades Of Research On Co...
A SURVEY ON DATA MINING AND ANALYSIS IN HADOOP AND HBASE
Data Mining Is A Process To Generate Pattern And Rules From Various Types Of Data Marts And Data Warehouses, In This Process There Are Several Steps Which Contains Data Cleaning Data Anomaly Detection Then Clean Data Is Mined With Vario...
A REVIEW ON INTRUSION DETECTION SYSTEM IN DATA MINING
With The Development Of Network Technology, Nowadays More And More People Learn Various Ways Of Attack Through The Rich Network Resources, And Carry Out Extremely Destructive Attack Through Simple Operation. In Recent Years, The Amount...
USER DOMAIN ANALYSIS USING SOCIAL MEDIA
Users Informal Conversation On Social Network Can Be Used To Know Their Educational Experiences Such As Opinions, Concerns And Learning Process. These Data From Such Sites Will Help Us To Know About Users Problem And Their Difficulties....