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Impact of AI on Academia

In Kurdistan Region, we have started to adopt this process too. Particularly in our department, Software Engineering department we are more than enthusiastic about this process

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Bologna Process

Adopting a new process for University

In Kurdistan Region, we have started to adopt this process too. Particularly in our department, Software Engineering department we are more than enthusiastic about this process

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Software Engineering

potentials and challenges of Software Eng

In the interview with the KTV I discussed the history and the mission of Software Engineering Department

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Temporal Clustering

Time Element in Clustering

Clustering is an unsupervised machine-learning method whose goal is to find natural groupings (clusters) of instances in data sets.

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Temporal Classification

Time Series Classification

Temporal and sequence classification is an automatic system that assigns one of the predefined classes to the time series or sequence input

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Measuring Changes in Temporal Data

Spiliopoulou et al. introduced the monic model, which finds cluster transition over accumulating data sets, providing an ageing function for clustering data that prioritises

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External Cluster Validation

How to validate the resulted clusters

External criteria validate the results of clustering based on some predefined structures of the data which is provided from an external source.

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Internal Cluster Validation

How to validate the resulted clusters

Internal criteria measure the 'goodness' of clusters for the data by extracting information from data and clusters alone, such as the compactness of data points inside one cluster.

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Cluster Validation

How to validate the resulted clusters

Many clustering methods exist to be used in different situations according to the underlying data to be analysed and clustered.

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Hierarchical Clustering

Hierarchical clustering is a method to group instances of a data set into a series of nested clusters or a tree of clusters called a dendrogram

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