rule based data analysis
Rule Based Approach for Sentiment Analysis of Traffic Data
... unused data shared by the people. Sentiment analysis is process for extracting information from user’s opinions shared on social ...Sentiment Analysis (TSA) system using the rule based ...
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1. Application based, advantageous k-means algorithm
... on data mining. Various software’s of data mining analyzes relationships and patterns in stored transaction data based on the user ...useful data like statistical, machine learning, and ...
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Hierarchical fuzzy rule based classification systems with genetic rule selection for imbalanced data-sets
... imbalanced data-set problem, describing the preprocessing tech- nique for imbalanced data-sets used in this work and discussing the evaluation metric used for this type of ...imbalanced data-sets. In ...
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The Data Mining of the Human Resources Data Warehouse in University Based on Association Rule
... Association analysis is a kind of commonly used data mining ...association analysis is from an effective way to extract the most interesting ...transaction data analysis, carried out ...
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A Rule Based Data Transfer Protocol for On Demand Data Exchange in Vehicular Environment
... determined based on empirical ...above analysis, the threshold, 30 Km/h, is appropriate for determining the vehicle state and prevents unnecessary state ...
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THE COMPARATIVE ANALYSIS OF ROAD ACCIDENT DATA USING DATA MINING TECHNIQUES Dr. B.G.Geetha 1, Abinaya.N2 , Abirami Sivasakthi.M 3 Aishwarya.T 4
... Association rule mining is a popular data mining technique that is based on market basket data ...association rule mining using Apriori algorithm for road accident data ...
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A Rule-Based Approach to the Analysis of Elders Activity Data: Detection of Health and Possible Emergency Conditions
... sensory data did not miss any main meals or showering activities recorded on the ...that rule-based algorithms could successfully detect meal preparation and showering activities using simple ...
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Determination of the rockfall source in an urban settlement area by using a rule-based fuzzy evaluation
... a rule-based fuzzy analysis on the discontinuity data of andesites in the city of Ankara, Turkey, in order to bring a different approach to determine the source areas for rockfall hazard in an ...
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An Investigation into the Central Data Warehouse based Association Rule Mining
... The Apriori algorithm performs repeated scan of the database, suc- cessively computing support-counts for sets of single items, pairs, triplets and so on. At the end of each pass, sets that fails to reach the required ...
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Rule based Classification of BSE Stock Data with Data Mining
... Commonly, techniques on stock market prediction can be divided in two main categories. They are traditional techniques and intelligent techniques. The traditional techniques can be further categorized into fundamental ...
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Performance Analysis of various rule based Classification Techniques
... total data (Credit Approval dataset), rest of the data has been declared as outliers by the ...same data set is ...whole data then divinity there will be no error of any type, hence the mean ...
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“Interval Type-2 Fuzzy Logic Rule based Data mining for Steam Turbine Fault Analysis of a Power System Rotatory Machine Component”
... fault analysis, for example: expert systems, causal maps, fuzzy sets, inductive learning, Artificial Neural Networks, wavelet transformation, Kalman Filters, etc…,In addition, the Chaos and Fractal Theories ...
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On expressiveness and uncertainty awareness in rule-based classification for data streams
... unseen data instance, and qualita- tively by examining some of the decision rules induced by Hoeffd- ing Rules on two ...Online Analysis and is an open-source framework for data stream ...to ...
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PyRATA, Python Rule based feAture sTructure Analysis
... Rules-based approaches must not be set in opposition to machine-learning-based (ML) approaches. The former provide the advantages of quickly generating some self- explanatory results with a few rules, even ...
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Power Emergency Prediction Analysis and Emergency Decision Analysis Model
... statistical analysis of disaster loss (quasi - real-time statistical analysis of loss load, outage substation, outage line, important outage users, number of power outage and other relevant data ...
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A Study and Analysis of Association Rule Mining Algorithms In Data Mining
... The data mining is a technology that has been developed rapidly. It is based on complex algorithms that allow for the segmentation of data to identify pattern and trends, detect anomalies, and ...
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A Review on Rule Based Entity Identification for Data Cleaning
... areas, data from multiple sourcesoften needs to be matched and aggregated before it can be used for further analysis or data ...mining. Data quality is high priority in all information ...
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Did the Bundesbank Follow a Taylor Rule? An Analysis Based on Real-Time Data
... Officially, the monetary strategy with which the Bundesbank managed to reach its impressive results, however, was different from the kind of ”inflation targeting” described by the rule Taylor (1993) devised for the ...
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Association rule analysis of CAO data
... courses based on points value rather than on topic; if the status of taking a college course with high points outweighed the wisdom of taking one that the student might enjoy or even excel ...
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Morphological Analyzer for Classical Tamil Texts: A Rule- based approach
... involved rule-based approach for Morphological Analyzer for Classical Tamil texts for ...The rule-based approach has successfully been used in developing many natural language processing ...
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