[PDF] Top 20 1. A review on spatial data mining techniques
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1. A review on spatial data mining techniques
... a data warehousing system for spatial queries on ...provides spatial join with mapreduce. This is able to work on geospatial data and location based ...two data sets are taken one from ... See full document
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1. A review on the study and analysis of big data using data mining techniques
... Big Data and its analysis is the centre of modern science and business ...of data is generated from the various heterogeneous sources, hence it become difficult to store, extract, transform and load ...of ... See full document
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A REVIEW ON DIMENSIONALITY REDUCTION TECHNIQUES IN DATA MINING
... Data mining is a step in the whole process of knowledge discovery which can be explained as a process of extracting or mining knowledge from large amounts of ...[1] Data mining ... See full document
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A REVIEW ON VARIOUS DATA-MINING TECHNIQUES FOR BIG DATA
... big data applications can be ...(multiple data sources, data analysis and modeling, data organization and interpretation) and seven layers (visualization/presentation layer, service/query ... See full document
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Title: STUDENT ACADEMIC PERFORMANCE USING DATA MINING TECHNIQUES
... world data‟s are collected from first year engineering ...primary data was collected using a ...secondary data such as semester mark details, attendance percentage, and class test performance were ... See full document
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Application of data mining techniques for medical data classification: a review
... in data mining for diagnosis and prognosis of different diseases, a significant number of attempts have been proposed for a wide variety of medical image ...of data (such as UCI repository [15] it ... See full document
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DATA MINING TECHNIQUES FOR EDUCATIONAL DATA: A REVIEW
... In paper Ajay Kumar Pal has presented a new approach of classification to predict the placement of students. This approach provides the relations between academic records and placement of students. In this analysis, ... See full document
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REVIEW ON EDUCATIONAL DATA MINING TECHNIQUES
... In this paper Jindal Rajni and Dutta Borah Malaya [2015] implemented a prediction analysis method that can help to improve the education quality in higher education for ensuring organization success at all level. They ... See full document
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Prediction Analysis Techniques of Data Mining: A Review
... Bala Sundar V et.al, (2012) examined in this paper [13] real and artificial datasets that have been used to predict diagnosis of heart diseases with the help of a K-mean clustering technique results to check its ... See full document
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A Review on Data Mining Techniques for Fertilizer Recommendation
... D. SVMs in Agriculture: Support vector machine (SVM) which was originally developed by Vapnik (1998) has been widely applied to many different fields, such as signal process and time series analysis. SVMs are one of the ... See full document
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A Review of Forgery Detection Techniques in Spatial Domain
... Amid the prior decade, incredible PC frameworks, high-choice computerized cameras, and complex photograph improving programming programs have risen as a less expensive source and are accessible in a colossal amount of ... See full document
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DATA MINING TECHNIQUES FOR INTRUSION DETECTION: A REVIEW
... Data mining technology has been emerged as a means for identifying patterns and trends from large quantities of ...online data, network log data, alarm messages ...different data ... See full document
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REVIEW ON DISCRIMINATION DISCOVERY AND PREVENTION TECHNIQUES IN DATA MINING
... In order to convert each α-discriminatory rule into an α-protective rule, based on the direct discriminatory measure (i.e., Definition 2), we should enforce the following inequality for each - discriminatory rule 0: , → ... See full document
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Cardiovascular Disease Prediction Using Data Mining Techniques: A Review
... care, data mining is becoming increasingly popular if not increasingly ...essential. Data mining is a general term which encompasses a number of techniques to extract useful information ... See full document
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A review on stock data prediction using predictive data mining techniques
... general, data classification is a two-step ...different data set that is used to estimate the classification accuracy of the ...future data instances for which the class label is not ...several ... See full document
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A Review on Insider Attack Detection Algorithm Using Data Mining Techniques
... [1] This research work is based on detecting insider attack or adversity that can be classified as anomaly. The process is detection is based on statistical methods. To demonstrate its working they have conducted ... See full document
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Spatial Data Mining Techniques.
... Phase2: Condensation of Initial CF-tree into a smaller tree This phase is optional. In Phase 3, we use existing global or semi-global clustering algorithms which may create a gap between the results of Phase 1 and ... See full document
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Soft Spatial Query Processing in Spatial Databases-A Case Study
... table 1, spatial data mining tasks are generally an extension of data mining tasks in which spatial data and criteria are ...summarize data, (ii) find ... See full document
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Conceptual Review of clustering techniques in...
... the review, we conclude that pure global-pattern-mining-based algorithms may not be practical for large scale ...scale data mining and clustering techniques are likely to adapt more ... See full document
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1. Spatial data mining on remote sensing perspective
... the data around the centroid of the cluster based on the Euclidean ...of data is done and represented as a ...these, spatial attribute has not been taken into ...(Density-Based Spatial ... See full document
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