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Incremental Document Clustering Using Cluster Similarity Histograms
... the similarity histogram, this means keeping the distribution of similarities skewed to the right of the histogram as much as possible. New documents that need to be assigned to a cluster are compared against each cluster histogram, and if it is found to degrade the distribution very much, it should ...
... the similarity histogram, this means keeping the distribution of similarities skewed to the right of the histogram as much as possible. New documents that need to be assigned to a cluster are compared against each cluster histogram, and if it is found to degrade the distribution very much, it should ...
An Investigation into the Issues of Multi
... widely-distributed and in many different forms. Similarly there may be a number of algorithms that may be applied to a single Knowledge Discovery in Databases (KDD) task with no obvious “best” algorithm. There is a clear advantage to be gained from a software organisation that can locate, evaluate, ...
... widely-distributed and in many different forms. Similarly there may be a number of algorithms that may be applied to a single Knowledge Discovery in Databases (KDD) task with no obvious “best” algorithm. There is a clear advantage to be gained from a software organisation that can locate, evaluate, ...
Visual Exploration of Spatial-Temporal Traffic Congestion Patterns
... Nowadays, traffic congestion becomes a big concern in transportation management. There are many negative effects caused by traffic congestion, such as the increasing of travel time, air pollution and carbon dioxide (CO2) emissions. Therefore, this problem need to be solved so that efficiency in the ...
... Nowadays, traffic congestion becomes a big concern in transportation management. There are many negative effects caused by traffic congestion, such as the increasing of travel time, air pollution and carbon dioxide (CO2) emissions. Therefore, this problem need to be solved so that efficiency in the ...
Adaptive Fraud Detection
... There are two classes of methods for dealing with cloning fraud. Pre-call methods try to identify and block fraudulent calls as they are made. Post-call methods try to identify fraud that has already occurred on an account so that further fraudulent usage can be blocked. 2.2.1. Pre-call methods. Pre ...
... There are two classes of methods for dealing with cloning fraud. Pre-call methods try to identify and block fraudulent calls as they are made. Post-call methods try to identify fraud that has already occurred on an account so that further fraudulent usage can be blocked. 2.2.1. Pre-call methods. Pre ...
05 - CE Sharif
... Repeat the process on each newly created conditional FP-tree Until the resulting FP-tree is empty, or it contains only one path—single path will generate all the combinations of its sub-paths, each of which is a frequent pattern ...
... Repeat the process on each newly created conditional FP-tree Until the resulting FP-tree is empty, or it contains only one path—single path will generate all the combinations of its sub-paths, each of which is a frequent pattern ...
parallel mining of minimal sample unique itemsets - APT
... Unfortunately data sharing can sometimes lead to serious problems associated with disclosure of personal information which should not have been disclosed. Prior to sharing data, the data holders must eliminate all fields that may possibly enable identification of an individual. Such fields are refer ...
... Unfortunately data sharing can sometimes lead to serious problems associated with disclosure of personal information which should not have been disclosed. Prior to sharing data, the data holders must eliminate all fields that may possibly enable identification of an individual. Such fields are refer ...
Association Analysis Book Chapter
... suggests that a strong relationship exists between the sale of bread and milk since customers who buy bread also tend to buy milk. One way to identify such relationships is to apply statistical techniques such as correlation analysis to determine the extent to which the sale of one item depends on t ...
... suggests that a strong relationship exists between the sale of bread and milk since customers who buy bread also tend to buy milk. One way to identify such relationships is to apply statistical techniques such as correlation analysis to determine the extent to which the sale of one item depends on t ...
Graph-theoretic techniques for web content mining
... In this dissertation we introduce several novel techniques for performing data mining on web documents which utilize graph representations of document content. Graphs are more robust than typical vector representations as they can model structural information that is usually lost when converting the ...
... In this dissertation we introduce several novel techniques for performing data mining on web documents which utilize graph representations of document content. Graphs are more robust than typical vector representations as they can model structural information that is usually lost when converting the ...
A Survey on Trajectory Data Mining
... Internet enabled mobile devices are primary sources for obtaining very large volumes of trajectory data that capture the movements of different types of objects such as people, vehicles, animals and vessels [36]. The increasing pervasiveness of location acquisition technologies has enabled collectio ...
... Internet enabled mobile devices are primary sources for obtaining very large volumes of trajectory data that capture the movements of different types of objects such as people, vehicles, animals and vessels [36]. The increasing pervasiveness of location acquisition technologies has enabled collectio ...
Machine Learning for Information Visualization
... Step 1: center both figures around 0 by subtracting centroid Step 2: rotate by T = arg min trace(A − BT )(A − BT )> TT > =I ...
... Step 1: center both figures around 0 by subtracting centroid Step 2: rotate by T = arg min trace(A − BT )(A − BT )> TT > =I ...
Data Mining on Empty Result Queries
... usually much smaller than their Cartesian product. Empty region exist within the table itself, this is evident when ploting a graph between two attributes in a table reveals a lot of empty regions. Therefore it is reasonable to say that empty regions exist, as it is impossible to have a table or joi ...
... usually much smaller than their Cartesian product. Empty region exist within the table itself, this is evident when ploting a graph between two attributes in a table reveals a lot of empty regions. Therefore it is reasonable to say that empty regions exist, as it is impossible to have a table or joi ...
Effortless Data Exploration with zenvisage: An Expressive and
... components map into: (i) X, (ii) Y, (iii) Z, and (iv) Viz. Table 1 gives an example of a valid ZQL query that uses these columns to specify a bar chart visualization of overall sales over the years for the product chair (i.e., the visualization in Figure 1)— ignore the Name column for now. The detai ...
... components map into: (i) X, (ii) Y, (iii) Z, and (iv) Viz. Table 1 gives an example of a valid ZQL query that uses these columns to specify a bar chart visualization of overall sales over the years for the product chair (i.e., the visualization in Figure 1)— ignore the Name column for now. The detai ...
Contents
... with unsupervised learning (or clustering), in which the class label of each training tuple is not known, and the number or set of classes to be learned may not be known in advance. For example, if we did not have the loan decision data available for the training set, we could use clustering to try ...
... with unsupervised learning (or clustering), in which the class label of each training tuple is not known, and the number or set of classes to be learned may not be known in advance. For example, if we did not have the loan decision data available for the training set, we could use clustering to try ...
Spatio–Temporal Data Mining for Location–Based Services Gy˝oz˝o
... database is used to estimate the capacity of the mobile advertising channel. The estimates show that the channel capacity is extremely large, which is evidence for a strong business case, but it also necessitates adequate user controls. When data about users is collected and analyzed, privacy natura ...
... database is used to estimate the capacity of the mobile advertising channel. The estimates show that the channel capacity is extremely large, which is evidence for a strong business case, but it also necessitates adequate user controls. When data about users is collected and analyzed, privacy natura ...
Association Rule Generation and Evaluation of Interestingness
... to the displayed images. If the entered tags have been entered by other users as well, this player scores. These tags make it possible for users to search for images according to specific keywords. Similar to other scenarios like collected customer purchase information these gathered tags can be use ...
... to the displayed images. If the entered tags have been entered by other users as well, this player scores. These tags make it possible for users to search for images according to specific keywords. Similar to other scenarios like collected customer purchase information these gathered tags can be use ...
PDF version
... pair-wise similarity and the resulting clusters are then represented by a click-stream tree. A new method is proposed for calculating the similarity between all pairs of user sessions considering both the order of pages and the time spent on them. The results of the experiments on different Web site ...
... pair-wise similarity and the resulting clusters are then represented by a click-stream tree. A new method is proposed for calculating the similarity between all pairs of user sessions considering both the order of pages and the time spent on them. The results of the experiments on different Web site ...
sql server analysis services
... One main benefit of OLAP is consistency of calculations. No matter how fast data is processed through OLAP software or servers, the reporting that results is presented in a consistent presentation, so executives always know what to look for where. This is especially helpful when comparing informatio ...
... One main benefit of OLAP is consistency of calculations. No matter how fast data is processed through OLAP software or servers, the reporting that results is presented in a consistent presentation, so executives always know what to look for where. This is especially helpful when comparing informatio ...
Nonlinear dimensionality reduction
![](https://commons.wikimedia.org/wiki/Special:FilePath/Lle_hlle_swissroll.png?width=300)
High-dimensional data, meaning data that requires more than two or three dimensions to represent, can be difficult to interpret. One approach to simplification is to assume that the data of interest lie on an embedded non-linear manifold within the higher-dimensional space. If the manifold is of low enough dimension, the data can be visualised in the low-dimensional space.Below is a summary of some of the important algorithms from the history of manifold learning and nonlinear dimensionality reduction (NLDR). Many of these non-linear dimensionality reduction methods are related to the linear methods listed below. Non-linear methods can be broadly classified into two groups: those that provide a mapping (either from the high-dimensional space to the low-dimensional embedding or vice versa), and those that just give a visualisation. In the context of machine learning, mapping methods may be viewed as a preliminary feature extraction step, after which pattern recognition algorithms are applied. Typically those that just give a visualisation are based on proximity data – that is, distance measurements.