classical machine learning paradigms for data mining

... valuable source of information for basically all topics related to data mining and knowledge discovery in databases Another web site well worth visiting for information about data mining and knowledge ... in databases (the KDD process), of which data mining is just one, though very important, step We characterize the standard data mining tasks and position the work of this book by pointing out for ... are selected, and they are transformed into a unique format that is suitable for applying data mining techniques Then they are cleaned and reduced to improve the performance of the algorithms to...

Ngày tải lên: 14/07/2016, 15:32

... 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...

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 ... environment, the data set may be in any machine- accessible form For ease of discussion and explanation, it will be assumed that the data is in the form of a flat file Also, for ease of illustration,...

Ngày tải lên: 24/10/2013, 19:15

... 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...

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...

Ngày tải lên: 29/10/2013, 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...

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...

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...

Ngày tải lên: 08/11/2013, 02:15

... 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...

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...

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 ... it is learning Network learning is crucial, since only when learning (improving performance) are the input variables accurately assessed for their importance However, it is only important for variable ... 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...

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...

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...

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...

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 ... prepared data resisted learning noise to a greater degree than in the unprepared data set 12.3.2 Decision Trees and the CREDIT Data Set Exposing the information content seems to be effective for a...

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 ... from the data survey, and taking the CREDIT data set as it comes, how does a decision tree perform? Two trees were built on the CREDIT data set, one on prepared data, and one on unprepared data The...

Ngày tải lên: 15/12/2013, 13:15

... resource for measuring the reliability of automatic evaluation metrics In this paper, we show that they are also informative in developing better metrics MT Evaluation with Machine Learning A ... argument structures for certain syntactic categories Empirical Studies In these studies, the learning models used for both classification and regression are support vector machines (SVM) with ... 0.424 0.260 0.546 Table 1: Correlations for cross-year generalization Learning- based metrics are developed from NIST 2003 Chinese data All metrics are tested on datasets from 2003 Arabic, 2002 Chinese...

Ngày tải lên: 08/03/2014, 02:21

... percent Best performance on a test set for each model is highlighted in bold curacies, in percent Best performance on a test set for each model is highlighted in bold does not perform to the state-of-the-art, ... apparent that the Polarity 2004 dataset performs worse than the Polarity 1.0 dataset (confidence interval 99.9%) A possible reason for this is that Polarity 2004 data is from a much smaller time-period ... data will improve the performance of the Emoticon-trained classifiers by increasing the coverage Potential sources for this include online bulletin boards, chat forums, and further newsgroup data...

Ngày tải lên: 17/03/2014, 06:20

... the Web and Databases (WebDB '98), March 1998 M E Califf and R J Mooney 2004 Bottom-Up Relational Learning of Pattern Matching Rules for Information Extraction Journal of Machine Learning Research, ... PI for Person_In, PO for Person_Out, POS for Position and ORG for Organisation In our experiments, we attempt to investigate the influence of the size of the seed and the size of the test data ... of our test data sets Data Set Name Nobel Prize A (1999-2005) Nobel Prize B (1981-1998) MUC-6 Doc Number 2296 1032 199 Data Amount 12,6 MB 5,8 MB MB Table1 Overview of Test Data Sets For the Nobel...

Ngày tải lên: 23/03/2014, 18:20

... NAD-1998 Data Set Table Characteristics of the NAD Data set used in intrusion detection experiments 4.1 Network Anomaly Data: Here we give brief description of each sub data set of NAD The data set ... provide attack labels for the seven-week training data, but the list files associated with the test data doesn‘t contain attack labels So, we considered only seven week training data for both training ... Data sets were generated on a test bed similar to that used for NAD 1998 Data sets Twenty-nine additional attacks were identified The data sets contain approximately three weeks of training data...

Ngày tải lên: 06/06/2014, 20:56