MOMEMI: Modern Methods of Data Mining
نویسنده
چکیده
Modern data mining is used in order to classify and to discover relationships in big data sets. The papers, presented in the framework of the MOMEMI, deals with the most important fields of modern data mining: determining and use of patterns and templates, incremental reasoning, geometrical associations as well as text mining. Keywords-data mining; classification; forecast; cluster; association; pattern; incremental and distributed reasoning.
منابع مشابه
Performance evaluation of different estimation methods for missing rainfall data
There are numerous methods to estimate missing values of which some are used depending on the data type and regional climatic characteristics. In this research, part of the monthly precipitation data in Sarab synoptic station, east Azerbaijan province, Iran was randomly considered missing values. In order to study the effectiveness of various methods to estimate missing data, by seven classic s...
متن کاملMulti-Objective Model for Fair Pricing of Electricity Using the Parameters from the Iran Electricity Market Big Data Analysis
Assessment of the electricity market shows that, electricity market data can be considered "big data". this data has been analyzed by both conventional and modern data mining methods. The predicted variables of supply and demand are considered to be the input of a defined multi-objective for predicting electricity price, which is the result of the defined model. This shows the advantage of appl...
متن کاملMining Frequent Patterns in Uncertain and Relational Data Streams using the Landmark Windows
Todays, in many modern applications, we search for frequent and repeating patterns in the analyzed data sets. In this search, we look for patterns that frequently appear in data set and mark them as frequent patterns to enable users to make decisions based on these discoveries. Most algorithms presented in the context of data stream mining and frequent pattern detection, work either on uncertai...
متن کاملDesigning a smart algorithm for determining stock exchange signals by data mining
One of the most important problems in modern finance is finding efficient ways to summarize and visualize the stock exchange market. This research proposes a smart algorithm by means of valuable big data that is generated by stock exchange market and different kinds of methodology to present a smart model.In this paper, we investigate relationships between the data and access to their lat...
متن کاملApplication of Kansei engineering and data mining in the Thai ceramic manufacturing
Ceramic is one of the highly competitive products in Thailand. Many Thai ceramic companies are attempting to know the customer needs and perceptions for making favorite products. To know customer needs is the target of designers and to develop a product that must satisfy customers. This research is applied Kansei Engineering (KE) and Data Mining (DM) into the customer driven product design proc...
متن کامل