theoretical considerations for data mining
Data Preparation for Data Mining- P3
Ngày tải lên :
24/10/2013, 19:15
... the data set for mining to best expose the information contained in it to the mining tool Indeed, the whole purpose for mining data is to transform the information content of a data set that ... transforming information The concept of information is crucial to data mining It is the very substance enfolded within a data set for which the data set is being mined It is the reason to prepare the data ... Transformations and Difficulties—Variables, Data, and Information Much of this discussion has pivoted on information—information in a data set, information content of various scales, and transforming...
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Data Preparation for Data Mining- P4
Ngày tải lên :
24/10/2013, 19:15
... bias Determining data structure Building the PIE Surveying the data Modeling the data 3.3.1 Stage 1: Accessing the Data The starting point for any data preparation project is to locate the data This ... execution data is in its “raw” form, and the model works only with prepared data, it is necessary to transform the execution data in the same way that the training and test data were transformed ... preparation activities Data Issue: Representative Samples A perennial problem is determining how much data is needed for modeling One tenet of data mining is “all of the data, all of the time.”...
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Data Preparation for Data Mining- P5
Ngày tải lên :
29/10/2013, 02:15
... original information This additional information actually forms another data stream and enriches the original data Enrichment is the process of adding external data to the data set Note that data enhancement ... example of enhancing the data No external data is added, but the existing data is restructured to be more useful in a particular situation Another form of data enhancement is data multiplication When ... between variables also needs to be considered In every data mining application, the data set used for mining should have some underlying rationale for its use Each of the variables used should have...
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Data Preparation for Data Mining- P6
Ngày tải lên :
29/10/2013, 02:15
... numerating the alphas, but also for conducting the data survey and for addressing various problems and issues in data mining Becoming comfortable with the concept of data existing in state space ... standard deviation of the sample For large numbers of instances, which will usually be dealt with in data mining, the difference is miniscule.) There is another formula for finding the value of the ... of the original data sample Random sampling does that If the original data set represents a biased sample, that is evaluated partly in the data assay (Chapter 4), again when the data set itself...
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Data Preparation for Data Mining- P7
Ngày tải lên :
08/11/2013, 02:15
... 0.8769 Forward 0.4940 0.4923 Please purchase PDF Split-Merge on www.verypdf.com to remove this watermark Forward 0.6988 0.7692 Forward 0.4940 0.4462 Forward 0.6988 0.7538 Forward 0.4940 0.3231 Forward ... Zalapski Forward 37 Patrick Poulin Reserve 55 Igor Ulanov Forward 26 Martin Rucinsky Defense 43 Patrice Brisebois Forward 28 Marc Bureau Forward 27 Shayne Corson Defense 52 Craig Rivet Forward ... distance from there to each of the nearest data points in each dimension The mean distance to neighboring data points serves as a surrogate measurement for density For many purposes this is a more convenient...
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Data Preparation for Data Mining- P8
Ngày tải lên :
08/11/2013, 02:15
... Translating the information discovered there into insights about the data, and the objects the data represents, forms an important part of the data survey in addition to its use in data preparation ... with putting data into the multitable structures called “normal form” in a database, data warehouse, or other data repository.) During the process of manipulation, as well as exposing information, ... a working data preparation computer program were also addressed In spite of the distance covered here, there remains much to to the data before it is fully prepared for surveying and mining Please...
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Data Preparation for Data Mining- P9
Ngày tải lên :
08/11/2013, 02:15
... least harm to the information content of the data set Yet it still leaves some information exposed for the mining tools to use when values outside those within the sample data set are encountered ... are somehow regularized For instance, one such tool for a particular data set could, when fine-tuned and adjusted, just as well with unprepared data as with prepared data The difference was that ... work.) Third, and very important for maximum information exposure, the individual variable distributions are transformed This transformation makes the between-variable information far more accessible...
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Tài liệu Lecture 14: The Theoretical Basis for Data Communication: pptx
Ngày tải lên :
10/12/2013, 08:15
... So, for a 10 dBm signal (10 mW) the noise level has to be less than -20 dBm (10 microW) Shanon Theorem: Mathematical guidelines have been established to determine the maximum theoretical data ... measurement The decibel level indicates the relationship of one power level to another The formula for calculating decibel is : dB = 10 log Po/Pi = 10 log 1000mW/10mW = 10 log 100 = 10 x =20 ... proved that the maximum data rate of a noisy channel whose bandwidth is B Hz, and whose signal-to-noise ratio is S/N, is given by Channel Capacity = B log2 (1+S/N) bps For a bandwidth of 3.1 kHz...
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Tài liệu Data Preparation for Data Mining- P10 docx
Ngày tải lên :
15/12/2013, 13:15
... Series Data Series data differs from the forms of data so far discussed mainly in the way in which the data enfolds the information The main difference is that the ordering of the data carries information ... series data set so that it can be accurately and completely characterized Find methods for manipulating the unique features of series data to expose the information content to mining tools Series data ... technique Figure 9.11 Waterforms and their correlograms 9.4 Modeling Series Data Given these tools for describing series data, how they help with preparing the data for modeling? There are two...
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Tài liệu Data Preparation for Data Mining- P11 pdf
Ngày tải lên :
15/12/2013, 13:15
... transform accomplishes this The second transform subtracts the mean of the transformed variable from each transformed value, and divides the result by the standard deviation The formula for this ... transform accomplishes this The second transform subtracts the mean of the transformed variable from each transformed value, and divides the result by the standard deviation The formula for this ... uniform spectrum and uniformly low autocorrelation at all lags There still might be useful information contained in the waveform, but the chance is small This is a good sign that extra effort...
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Tài liệu Data Preparation for Data Mining- P12 pptx
Ngày tải lên :
15/12/2013, 13:15
... than data preparation? Data preparation concentrates on transforming and adjusting variables’ values to ensure maximum information exposure Data surveying concentrates on examining a prepared data ... large for the mining tool the customer had selected, causing repeated mining software failures and system crashes during mining The data reduction methodology described above reduced the data ... nomenclature A function can be expressed as a formula, just as the formula for determining the value of the logistic function is For convenience, this whole formula can be taken as a given and represented...
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Tài liệu Data Preparation for Data Mining- P13 pptx
Ngày tải lên :
15/12/2013, 13:15
... “information.” This book mentions “information” in several places “Information is embedded in a data set.” “The purpose of data preparation is to best expose information to a mining tool.” “Information ... that mining is not designed to extract information Data, or the data set, enfolds information This information describes many and various relationships that exist enfolded in the data When mining, ... term “information” is used in data mining Data possesses information only in its latent form Mining provides the mechanism by which any insight potentially present is explicated Since information...
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Tài liệu Data Preparation for Data Mining- P14 pdf
Ngày tải lên :
15/12/2013, 13:15
... determining the confidence that the multivariable variability of a data set is captured, entropic analysis forms the main tool for surveying data The other tools are useful, but used largely for ... full range of calculations for forward and reverse entropy, signal entropy and mutual information, even for this simplified example, are quite extensive For instance, determining the entropy of each ... of the instances can be assembled into a data set, and that data set examined for similarity to the training data set, but that only tells you that the data set now assembled was or wasn’t drawn...
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Tài liệu Data Preparation for Data Mining- P15 doc
Ngày tải lên :
15/12/2013, 13:15
... reason for using the best data preparation available—is that data preparation adds value to the business objective that the miner is addressing 12.1 Modeling Data Before examining the effect the data ... map for the CREDIT data set in Figure 11.31 that carries useful information In spite of the apparent perfect predictions possible from the information enfolded in this data (shown in the information ... 11.32 Information metrics for the unbalanced CREDIT data set on the left, and the balanced CREDIT data set on the right The unbalanced data set has less than 1% buyers, while the balanced data set...
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Tài liệu Data Preparation for Data Mining- P16 ppt
Ngày tải lên :
15/12/2013, 13:15
... unprepared data shows an 81.8182% accuracy on the test data set (top) and an 85.8283% accuracy in the test data for the prepared data set (bottom) 12.4 Practical Use of Data Preparation and Prepared Data ... which data mining tools and data modeling tools focus The near future will see the development of automated data preparation tools for series data Approaches for automated series data preparation ... model is needed, data extracts for training, test, and evaluation data sets can be prepared and models built on those data sets For any continuously operating model, the Prepared Information Environment...
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Tài liệu Data Preparation for Data Mining- P17 ppt
Ngày tải lên :
15/12/2013, 13:15
... unprepared data shows an 81.8182% accuracy on the test data set (top) and an 85.8283% accuracy in the test data for the prepared data set (bottom) 12.4 Practical Use of Data Preparation and Prepared Data ... which data mining tools and data modeling tools focus The near future will see the development of automated data preparation tools for series data Approaches for automated series data preparation ... the data in a very different way A tree can digest unprepared data, and also is not as sensitive to balancing of the data set as a network Does data preparation help improve performance for a...
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Data Mining: Introduction Lecture Notes for Chapter 1 Introduction to Data Mining ppt
Ngày tải lên :
15/03/2014, 09:20
... Tan,Steinbach, Kumar Introduction to Data Mining What is (not) Data Mining? What is not Data Mining? – Look up phone number in phone directory – Query a Web search engine for information about “Amazon” © ... Introduction to Data Mining 28 Challenges of Data Mining Scalability Dimensionality Complex and Heterogeneous Data Data Quality Data Ownership and Distribution Privacy Preservation Streaming Data © Tan,Steinbach, ... expression data – scientific simulations generating terabytes of data Traditional techniques infeasible for raw data Data mining may help scientists – in classifying and segmenting data – in Hypothesis...
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Data Mining: Data Lecture Notes for Chapter 2 Introduction to Data Mining potx
Ngày tải lên :
15/03/2014, 09:20
... to Data Mining Types of data sets Record – Data Matrix – Document Data – Transaction Data Graph – World Wide Web – Molecular Structures Ordered – Spatial Data – Temporal Data – Sequential Data ... Introduction to Data Mining 19 Ordered Data Spatio-Temporal Data Average Monthly Temperature of land and ocean © Tan,Steinbach, Kumar Introduction to Data Mining 20 Data Quality What kinds of data quality ... selected before data mining algorithm is run – Wrapper approaches: • Use the data mining algorithm as a black box to find best subset of attributes © Tan,Steinbach, Kumar Introduction to Data Mining...
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Data Mining: Exploring Data Lecture Notes for Chapter 3 Introduction to Data Mining potx
Ngày tải lên :
15/03/2014, 09:20
... Introduction to Data Mining separate face becomes a Star Plots for Iris Data Setosa Versicolour Virginica © Tan,Steinbach, Kumar Introduction to Data Mining 29 Chernoff Faces for Iris Data Setosa ... Kumar Introduction to Data Mining 35 OLAP Operations: Data Cube The key operation of a OLAP is the formation of a data cube A data cube is a multidimensional representation of data, together with ... Introduction to Data Mining Visualization Visualization is the conversion of data into a visual or tabular format so that the characteristics of the data and the relationships among data items or...
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Data Mining Classification: Basic Concepts, Decision Trees, and Model Evaluation Lecture Notes for Chapter 4 Introduction to Data Mining pptx
Ngày tải lên :
15/03/2014, 09:20
... same data! 10 © Tan,Steinbach, Kumar Introduction to Data Mining Decision Tree Classification Task Decision Tree © Tan,Steinbach, Kumar Introduction to Data Mining Apply Model to Test Data Test Data ... to Data Mining 26 How to determine the Best Split Before Splitting: 10 records of class 0, 10 records of class Which test condition is the best? © Tan,Steinbach, Kumar Introduction to Data Mining ... Introduction to Data Mining 28 Measures of Node Impurity Gini Index Entropy Misclassification error © Tan,Steinbach, Kumar Introduction to Data Mining 29 How to Find the Best Split Before Splitting:...
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