[PDF] Top 20 Statistical Data Classification Using Instance Based Learning Algorithm
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Statistical Data Classification Using Instance Based Learning Algorithm
... in data storage and huge data accumulated, an intelligent analysis of data is very important of the current ...KNN Algorithm and Instance based learning is greatly helps ... See full document
8
Web Page Classification Using Relational Learning Algorithm and Unlabeled Data
... Web-based learning tasks, a relational learning algorithm can learn more accurate classifiers than a common statistical approach ...relational learning algorithms to web page ... See full document
6
Sentiment Analysis Based Mining and Summarizing Using SVM-MapReduce
... training data set is broken into k sets of data, each of size n=k, where n is the size of the training data ...The learning algorithm is trained on k-1 sets and tested against ...for ... See full document
5
An improved learning based disaster event using big data analytics
... knowledge algorithm which can be used for in cooperation categorization and regression ...in classification problems. We plot each data item as a point in n-dimensional space with the value of each ... See full document
5
Lung Image Classification using Hill Climbing Approach on Gabore Filter Optimization
... the Instance Based Learning (IBL) and Random Forest (RF) ...Leaping Algorithm (SFLA) - Hill Climbing (HC) is projected, which presented HC to SFLA through the combination of fast search ... See full document
7
SURVEY ON STUDENT INFORMATION ANALYSIS
... the data generated in an educational setup by the various intra-connected or disparate systems to develop model for improving learning experience and institutional ...of data is being accumulated. ... See full document
9
Soil Data Classification Using Attribute Group Rank With Filter Based Instance Selection Model
... through data mining and machine learning algorithms, research on agricultural components such as soil, crops, rainfall and price prediction have gained massive attraction from research ...communities. ... See full document
7
A Survey on Data Stream and Its Various Techniques
... dataActive learning and semi supervised learning have been proposed as an alternative approach to solve limited labeled data which jointly exploit labeled and unlabeled samples for training ... See full document
6
Instance based vs Batch based Incremental Learning Approach for Students Classification
... In the literature, there are many classifiers which can handle the instance based data incrementally, some of them are naïve bayes updatable, K star algorithm, Nearest Neighborhood, Winn[r] ... See full document
5
GENE EXPRESSION DATA ANALYSIS USING DATA MINING ALGORITHMS FOR COLON CANCER
... of Data mining is used in various medical applications like tumor classification, protein structure prediction, gene classification, cancer classification based on microarray ... See full document
7
Image Data Classification using Hadoop Based on Semi Supervise Algorithm
... image data more randomly alienated into 5 ...the classification tool in the OTB which describe in the subsequent phase of processing (a map algorithm) to be appropriate a categorization to one of the ... See full document
5
Effective News Video Classification Based On Audio Content: A Multiple Instance Learning Approach
... video classification, features are drawn mainly from text, audio, and visual ...content based approach usually require fewer computational resources than visual methods ...unsupervised learning ... See full document
5
Wavelet Statistical Feature based Malware Class Recognition and Classification using Supervised Learning Classifier
... The classification error rate is very less compare to existing work on classification of ...wavelet based statistical features by applying wavelet transforms with wavelet family like db4, ... See full document
8
Multiple Instance Learning of Real Valued Data
... when using the minimal Hausdorff met- ric (which is quite different from using standard k-NN on the individual points), will outperform citation-kNN while in others citation-kNN will perform ...musk ... See full document
28
Automatically identifying the function and intent of posts in underground forums
... automatic classification of posts from hacking-related online forums is of potential value for the understanding of user behaviour in social networks relating to ...machine learning (statistical) ... See full document
14
Expert Medical Systems
... decision based on those ...use classification technique in expert system. Data classification process contains two ...1. Learning step which is constructed using training ...2. ... See full document
10
Machine Learning based Traffic Classification using Low Level Features and Statistical Analysis
... traffic classification is not easy, current techniques for intrusion detection have their limitations which are being explored by the network ...machine learning has shown significant results which can be ... See full document
8
Comparative Analysis of Medical Mining Dataset for Figure out the Heart Illness to Perform Classification Algorithm
... Datasets collected from UC Irvine Machine Learning Repository, the data sets name Cleveland Clinic Foundation and Hungarian Institute of Cardiology. Each database has the same instance format. The ... See full document
5
Localized instance fusion of MRI data of Alzheimer’s disease for classification based on instance transfer ensemble learning
... ITL algorithm in this paper have achieved better results than those by using local data ...the classification accuracy can be improved up to ...the classification accuracy did not ... See full document
17
Opinion classification system using supervised learning algorithm
... proposed algorithm will fail to give correct opinion trends in dynamic social network ...way classification algorithm for twitter ...experiments using random tweets collected which are proved ... See full document
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