Productsdata mining examples ppt

BF Flotation Cell

BF flotation cell has two types: type I and type II. Type I is improved as suction cell referring to model SF; type II is improved as direct flow cell referring to model JJF.

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Cyclone Unit

Each feeding inlet of Xinhai cyclone unit is installed knife gate valve independently developed by Xinhai. This valve with small dimension reduces the diameter of cyclone unit.

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Hydraulic Cone Crusher

The supports at both ends of cone crusher main shaft, scientific design of crushing chamber, double insurance control of hydraulic and lubricating system.

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Overflow Type Ball Mill

Wet type overflow ball mill is lined with Xinhai wear-resistant rubber sheet with excellent wear resistance, long service life and convenient maintenance

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Grid Type Ball Mill

Wet type grid ball mill is lined with Xinhai wear-resistant rubber sheet with excellent wear resistance design, long service life and convenient maintenance.

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Round Vibrating Screen(YA)

Ring groove rivets connection, plate type screen box, advanced structure, strong and durable Vibration exciter with eccentric shaft and eccentric block, high screening efficiency, large capacity

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Jaw Crusher

Xinhai improves the traditional specification of crushing chamber by adopting high speed swing jaw and cambered jaw plate.

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Hammer Crusher

High-speed hammer impacts materials to crush materials. There are two ways of crushing (Wet and dry)

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Jig

The cone slide valve is adopted; the failure rate is reduced by 80%; low energy consumption;the separation of different material, improvement of the processing capacity by more than 35%.

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Energy Saving Ball Mill

Cylindrical energy saving grid ball mill is lined grooved ring plate which increases the contact surface of ball and ore and strengthens the grinding.

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Cylinder Energy-Saving Overflow Ball Mill

20-30%. Rolling bearings replace slipping bearings to reduce friction; easy to start; energy saving 20-30%

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SF Flotation Cell

Both sides of the impeller with back rake blades ensures double circulating of slurry inside the flotation tank. Forward type tank, small dead end, fast foam movement

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Data Mining

Define data mining; Data mining vs. databases; Basic data mining tasks; Data Example: Stock Market; Predict future values; Determine similar patterns over

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Data mining - SlideShare

Nov 24, 2012 PowerPoint for Teachers: Creating Interactive Lessons. Online Course - LinkedIn Learning Academic Research Foundations: Quantitative.

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Overview of Data Mining - UT Dallas

Traditional techniques infeasible for raw data; Data mining may help scientists. in classifying and segmenting data. in Hypothesis Formation. Examples: What is

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Data Mining

Data Mining and Data Analyticspredictive Analytics falls within this field. Direct Marketing-Example 1 million mailers- cost $.40 to ship letter=400,000 cost

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Data Mining – Intro

Examples of Data mining Applications. 1. Fraud detection: credit cards, phone cards. 2. Marketing: customer targeting. 3. Data Warehousing: Walmart. 4.

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An Introduction to Data Mining - CSE, IIT Bombay

of IT, IIT Bombay. Why Data Mining Data Mining helps extract such information. Data mining . Example: predict what booksCDs a person may want to buy.

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Introduction to Data Mining - ProcessMining.org

Why data mining data cascade; Application examples; Data Mining & Knowledge Discovering; Data Mining versus Process Mining. faculteit technologie

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ppt - UC Berkeley Database Group

Dec 4, 2006 Data mining is the exploration and analysis of large quantities of data in order to discover valid, novel, Example Application: Fraud Detection.

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Data Mining

Companion slides for the text by Dr. M.H.Dunham, Data Mining, Introductory and Example: Stock Market; Predict future values; Determine similar patterns over

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Data Mining

Stream data management and mining; Data mining and its applications; Web technology XML, data Example 1: Market Analysis and Management.

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Data mining and its applications in medicine - UConn School of

Data mining and its application and usage in medicine. By Radhika . Object j. 25. CSE. 300. Dissimilarity between Binary Variables. Example. 1. 0. 0. 0. 1. 1. 1.

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CSE591 Data Mining

Use of support and confidence in association mining. S for frequent itemsets; C for rule derivation. Spring 2005. 7. Example. Data set D. Count, Support

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Data mining

Business Analytics, BI, Big Data, Data Mining - Whats the difference? Business Analytics – Tools to explore past data to gain insight into future business decisions. Grouping data into like clusters based on specific attributes. Examples.

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Data Mining: Process and Techniques - UIC Computer Science

CS583 – Data Mining and Text Mining Data mining: Concepts and Techniques, by Jiawei Han and Micheline Kamber, Example of discovered patterns.

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Classification, clustering, similarity - Computer Science

Data mining - Applications, future, and summary. 28.11.2001. 6. DNA analysis – Examples 1. Similarity search and comparison among DNA sequences.

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Mining Association Rules

Data mining is the discovery of knowledge and useful information from the large amounts Body: represents the examined data. Association Rules Examples.

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Data Mining and Knowledge Discovery in Business - KDnuggets

Introduction; Data Mining Tasks; Application Examples. 3. Trends leading to Data Flood. More data is generated: Bank, telecom, other business transactions .

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PowerPoint Presentation

Each record in a supermarkets transaction DB, for example, corresponds to a basket of specific items. 1. 1. 1 A common and useful application of data mining.

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Data Mining in Market Research ppt

Data Mining: Practical Machine Learning Tools and Techniques with Java .. They can be useful tools for learning from examples to find patterns in data and

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Data Mining: An Overview - Columbia Statistics

Brief Introduction to Data Mining. • Data Mining Algorithms. • Specific Examples. – Algorithms: Disease Clusters. – Algorithms: Model-Based Clustering.

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Introduction to Spatial Data Mining - DElab

Historic Examples section 7.1.5, pp.186 Large e.g. exponential search space of plausible hypothesis; Example Why Learn about Spatial Data Mining?

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Apriori algorithm

Mar 12, 2008 Seminar of Popular Algorithms in Data Mining and Machine Latter one is an example of a profile association rule; Intradimension rules,

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Association Analysis - users.cs.umn.edu

Tan,Steinbach, Kumar Introduction to Data Mining 4182004 2. Association Rule Mining Example of Association Rules. {Diaper} {Beer}, {Milk, Bread}

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Data Mining: Emerging Trends, Challenges and - DataMiningApps

Term often used interchangeably with data mining, knowledge discovery, Example: If a customer has a car loan and car insurance, then the customer has a

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Data Mining Association Analysis: Basic Concepts and - UTC.edu

From Introduction to Data Mining Example of Association Rules Example: Association Rule. An implication expression of the form X Y, where X and Y are

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Data Mining ppt

Data Mining. Βάσεις Δεδομένων 2001-2002 Example. Transid custid date item qty. 111 201 5199 pen 2. 111 201 5199 ink 1. 111 201 5199 milk 3. 111 201

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introduction to data mining association rules - Semantic Scholar

“Necessity is the mother of invention”—Data mining—Automated .. Example: ○ Association Rule. – An implication expression of the form X → Y, where X and

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Privacy Preserving Data Mining

For example, in 1997 I was able to show how medical information that had all explicit Data mining software was applied to phone records from the prison

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Data Mining - Jiawei Han - University of Illinois at Urbana-Champaign

Data mining, data warehousing, multimedia databases, and Web databases. 2000s Business objects vs. data mining tools; Supply chain example: tools; Data

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Lecture slides

Data Mining and Knowledge Discovery; Data Mining Methods; Supervised Learning and examples from the data, together with noisy and outliers examples.

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ppt slides

All of the three: databases, data warehouses, and data mining, deal with data. . Example. 16.3. Parallel Association Rules contd. D. Taniar, C.H.C. Leung,

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Data Mining - Jim Gray

Transfer of data mining research into deployed applications and commercial products. Greater success in vertical applications; Horizontal tools: Examples:.

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Privacy Preserving Data Mining: Challenges & Opportunities

The primary task in data mining: development of models about aggregated data. Example: Interval Width : 54 Range of Age: 100 54% randomization

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Data Mining and Warehousing

ObjectivesMotivation for Data Mining; Data mining technique: Classification; Data . Partition the examples recursively by choosing one attribute each time.

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Association Rules.ppt

Mining Association Rules between Sets of Items in Large Databases R. Agrawal, T. Retail organizations, e.g., supermarkets, collect and store massive amounts sales data, called basket data. A record consist of Example Association Rule.

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PowerPoint Presentation - Creative Wisdom

Data mining DM is a cluster of techniques, including decision trees, artificial Supervised: Train the algorithm by giving labelled training data examples.

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Rule-Based Data Mining Methods for - NUS Computing

Rule-Based Data Mining Methods for Classification Problems in Biomedical to classify new data; Knowledge learned by intelligent algorithms; Examples:.

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Data Mining and Data Visualization - Quretec

Modern Data Warehousing, Mining, and Visualization: Core Concepts For example, if we are trying to determine which households will respond to a direct

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Mining Generalized Association Rules.ppt

Idit Haran, Data Mining Seminar, 2003. 5. Taxonomy - Example. Let say we found the rule: Outwear Hiking Boots with minimum support and confidence.

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10 Challenging Problems in Data Mining Research

reduce the accuracy of data mining algorithms; slow down the mining process number of positive examples is smaller than the number of negative examples

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