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CFS/HD-S High-efficiency Fine Classifier - NETZSCH Grinding .

The machine can be cleaned thoroughly, in short time when product or batches are . CFS-HD: A new classifier for fine classification with high efficiency.

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Direct Discriminative Pattern Mining for Effective Classification

mining approach, DDPMine, to tackle the efficiency issue arising from the two-step approach. . and achieves high classification accuracy, it could incur high computational cost. ... from UCI Machine Learning Repository are tested. The im-.

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Efficient Mining of Contrast Patterns and Their . - CiteSeerX

also investigate efficient pattern mining techniques and discuss how to exploit patterns to . extensively in statistics, machine learning, neural networks and expert systems for . Classification based on patterns is a relatively new method- ology. A Pattern is an .. An EP with high support in its home class and low support.

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evaluating the efficiency of rule techniques for file classification

Text mining refers to the process of deriving high quality information from text. It is also . (KDT), deals with the machine supported analysis of text. It is used in.

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China High Efficiency Mining Machine Spiral Classifier Dewatering .

sediment pool, this machine have three functions of washing, de-watering, classifying. High Efficiency Mining Machine Spiral Classifier Dewatering System

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China High Efficiency Mining Machine Spiral Classifier Dewatering .

sediment pool, this machine have three functions of washing, de-watering, classifying. High Efficiency Mining Machine Spiral Classifier Dewatering System

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Top 10 algorithms in data mining - Department of Computer Science

Dec 4, 2007 . Abstract This paper presents the top 10 data mining algorithms identified by the IEEE . ysis, classification, clustering, statistical learning, bagging and boosting, ... In today's machine learning applications, support vector machines (SVM) .. as well as high efficiency, they used a cascade process (which is.

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Supervised learning - Wikipedia

Supervised learning is the machine learning task of learning a function that maps an input to an output . data mining .. If the true function is simple, then an "inflexible" learning algorithm with high bias and low ... "Improving Classification Accuracy by Identifying and Removing Instances that Should Be Misclassified".

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Text Classifier Algorithms in Machine Learning Stats and Bots

Jul 12, 2017 . Along with the high-level discussion, we offer a collection of hands-on . The toolbox of a modern machine learning practitioner who focuses on text mining spans . A Bag of Tricks for Efficient Text Classification by Joulin et al.

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HARMONY: Efficiently Mining the Best Rules for Classification

which directly mines the final set of classification rules. HARMONY uses an . cess, HARMONY also has high efficiency and good scala- bility. Our thorough.

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Efficient Classification of Multi-Labelled Text Streams by . - arXiv

Apr 12, 2016 . machine learning and data mining applications (Rajaraman and ... in the same region with high probability and thus classification can be.

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A Supervised Learning Data Mining Approach for Object . - waset

machine-learning algorithms, the classification is done using supervised classifiers . and classification from high spatial resolution remote sensing imagery.

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Efficient Classification from Multiple Heterogeneous . - Jiawei Han

to study data mining on heterogeneous databases. In this paper we pro- . accuracy in cross-database classification, with much higher efficiency than previous.

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An efficient data mining classification approach for detecting lung .

Background: Automated disease classification using machine learning often . An efficient data mining classification approach for detecting lung cancer disease . the proposed method is applied in MATLAB 2014a to achieve high accuracy.

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HARMONY: Efficiently Mining the Best Rules for Classification

which directly mines the final set of classification rules. HARMONY uses an . cess, HARMONY also has high efficiency and good scala- bility. Our thorough.

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Data Mining Session 7 Main Theme Classification and Prediction .

Data Mining Concepts and Techniques (2nd Edition). Jiawei Han ... but gini{medium,high} is 0.30 and thus the best since it is the lowest. All attributes are . statisticians and machine learning researchers ... Output: classification function f(x).

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Chapter 7: Classification Scalability to Large Databases . - Quretec

set approaches, support vector machines, prediction . Indexing structures may provide high efficiency .. tree induction: Efficient classification in data mining.

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An efficient data mining classification approach for detecting lung .

Background: Automated disease classification using machine learning often . An efficient data mining classification approach for detecting lung cancer disease . the proposed method is applied in MATLAB 2014a to achieve high accuracy.

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Energy Efficient Data Mining Scheme for High Dimensional Data .

In this paper, we propose energy efficient big data mining scheme for forest cover type and gas drift classification. Efficient machine learning and data mining.

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Data Mining Techniques for Medical Data Classification

Keywords: Decision Tree, Support Vector Machine, Multilayer Perceptron, Bayesian Network, Breast . to obtain high efficiency for knowledge discovery in.

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Chapter 7: Classification Scalability to Large Databases . - Quretec

set approaches, support vector machines, prediction . Indexing structures may provide high efficiency .. tree induction: Efficient classification in data mining.

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Efficient Classification from Multiple Heterogeneous . - Jiawei Han

to study data mining on heterogeneous databases. In this paper we pro- . accuracy in cross-database classification, with much higher efficiency than previous.

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CMAR: Accurate and Efficient Classification Based on Multiple Class .

has high classification accuracy and strong flexibility at handling . machine learning research. .. make mining highly scalable and efficient, CMAR adopts a.

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CMAR: Accurate and Efficient Classification Based on Multiple Class .

has high classification accuracy and strong flexibility at handling . machine learning research. .. make mining highly scalable and efficient, CMAR adopts a.

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evaluating the efficiency of rule techniques for file classification

Text mining refers to the process of deriving high quality information from text. It is also . (KDT), deals with the machine supported analysis of text. It is used in.

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CFS/HD-S High-efficiency Fine Classifier - NETZSCH Grinding .

The machine can be cleaned thoroughly, in short time when product or batches are . CFS-HD: A new classifier for fine classification with high efficiency.

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Energy Efficient Data Mining Scheme for High Dimensional Data .

In this paper, we propose energy efficient big data mining scheme for forest cover type and gas drift classification. Efficient machine learning and data mining.

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Implementation of machine-learning classification in remote sensing .

Feb 2, 2018 . Machine learning offers the potential for effective and efficient . The strengths of machine learning include the capacity to handle data of high.

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Efficient Mining of Contrast Patterns and Their . - CiteSeerX

also investigate efficient pattern mining techniques and discuss how to exploit patterns to . extensively in statistics, machine learning, neural networks and expert systems for . Classification based on patterns is a relatively new method- ology. A Pattern is an .. An EP with high support in its home class and low support.

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Mining high-speed data streams

Tom Dietterich, Overfitting and undercomputing in machine learning, ACM Computing .. Peng Zhang , Xingquan Zhu , Yong Shi, Categorizing and mining concept . Niklas Lavesson , Håkan Grahn, Energy Efficiency in Data Stream Mining,.

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