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________of data means that the attributes within a given entity are fully dependent on the entire primary key of th...

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________ displays of data such as maps, charts and other graphical representation allow data to be presented compac...

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The ___________ engine for a data warehouse supports query-triggered usage of data

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_______ is concerned with discovering the model underlying the link structures of the web

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__________ describes the discovery of useful information from the web contents

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In web mining, _________ is used to know which URLs tend to be requested together

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In web mining, _________ is used to know the order in which URLs tend to be accessed

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In web mining, _______ is used to find natural groupings of users, pages, etc

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The ________ propose a measure of standing a node based on path counting

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_________ is the way of studying the web link structure

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_______ mining is concerned with discovering the model underlying the link structures of the web

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Research on mining multi-types of data is termed as _______ data

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Web content mining describes the discovery of useful information from the _______contents

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NLP stands for _________

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Which of the following is an operation in genetic algorithm?

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The mutation operator ______

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Crossover is used to _______

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The RSES system was developed in ___________

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GAs were developed in the early _____________

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Genetic algorithms are search algorithms based on the mechanics of natural_______

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GA was introduced in the year __________

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GA stands for _______________

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SOMs are used to cluster a specific _____________ dataset containing information about the patient's drugs etc

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Investment analysis used in neural networks is to predict the movement of _________ from previous data

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SOM was developed during ____________

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The SOM was a neural network model developed by ________

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The actual amount of reduction at each learning step may be guided by _________

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____________ is one of the most popular models in the unsupervised framework

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SOM is an acronym of _______________

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___________ is the most widely applied neural network technique

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________________ design involves deciding on their centres and the sharpness of their Gaussians

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___________ employs the supervised mode of learning

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___________ training may be used when a clear link between input data sets and target output values does not exist

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RBF hidden layer units have a receptive field which has a ____________

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RBF have only _______________ hidden layer

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RBF stands for _____________

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The network topology is constrained to be __________________

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In a feed- forward networks, the conncetions between layers are ___________ from input to output

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MLP stands for ______________________

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The sigmoid function also knows as __________functions

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The threshold function is replaced by continuous functions called ________ functions

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The biological neuron's _________ is a continuous function rather than a step function

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__________ are highly simplified models of biological neurons

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_________ is the connectivity of the neuron that give simple devices their real power

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_____________ is a complex chemical process in neural networks

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A single axon makes ___________ of synapses with other neurons

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The ___________is a long, single fibre that originates from the cell body

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Each neuron is made up of a number of nerve fibres called _____________

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The human brain consists of a network of ___________

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____________ are a different paradigm for computing which draws its inspiration from neuroscience

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Rule based classification algorithms generate ______ rule to perform the classification

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_________data consists of sample input data as well as the classification assignment for the data

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Prediction can be viewed as forecasting a_________value

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___________can be thought of as classifying an attribute value into one of a set of possible classes

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___________and prediction may be viewed as types of classification

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The basic partition algorithm reduces the number of database scans to ________ & divides it into partitions

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An algorithm called________is used to generate the candidate item sets for each pass after the first

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________is the most well known association rule algorithm and is used in most commercial products

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The basic idea of the apriori algorithm is to generate________ item sets of a particular size & scans the database

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The partition algorithm uses _______ scans of the databases to discover all frequent sets

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The ________ algorithm is based on the observation that the frequent sets are normally very few in number compared ...

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The cluster features of different subclusters are maintained in a tree called ___________

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BIRCH is a ________

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CLARANS stands for _______

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Pick out a hierarchical clustering algorithm

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Pick out a k-medoid algoithm

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In ___________ each cluster is represented by one of the objects of the cluster located near the center

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In ________ algorithm each cluster is represented by the center of gravity of the cluster

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Which of the following is a data set in the popular UCI machine-learning repository?

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__________ clustering techniques starts with all records in one cluster and then try to split that cluster into sma...

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_______ clustering technique start with as many clusters as there are records, with each cluster having only one re...

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Which of the following is a clustering algorithm?

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The goal of _____ is to discover both the dense and sparse regions of a data set

Last updated: Wed, 26 Nov

The transformed prefix paths of a node 'a' form a truncated database of pattern which co-occur with a is called ___...

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The paths from root node to the nodes labelled 'a' are called __________

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The frequent-item-header-table consists of __________ fields

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The non-root node of item-prefix-tree consists of ________ fields

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A frequent pattern tree is a tree structure consisting of ________

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The FP-growth algorithm has ________ phases

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The itemsets that have completed on full pass move from dashed circle to ________

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Certain itemsets enter afresh into the system and get into the _______, which are essentially the supersets of the ...

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Certain itemsets in the dashed circle whose support count reach support value during an iteration move into the ___...

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The itemsets in the _______category structures are not subjected to any counting

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Itemsets in the ______ category of structures have a counter and the stop number with them

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Dynamuc Itemset Counting Algorithm was proposed by ____

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MFCS is the acronym of _____

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The number of iterations in a priori ___________

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After the pruning of a priori algorithm, _______ will remain

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The a priori frequent itemset discovery algorithm moves _______ in the lattice

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The _______ step eliminates the extensions of (k-1)-itemsets which are not found to be frequent, from being conside...

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The second phaase of A Priori algorithm is ____________

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The first phase of A Priori algorithm is _______

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The A Priori algorithm is a ___________

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A priori algorithm is otherwise called as __________

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If an itemset is not a frequent set and no superset of this is a frequent set, then it is _______

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Any superset of an infrequent set is an infrequent set, This is _______

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Any superset of an infrequent set is an infrequent set

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Any subset of a frequent set is a frequent set

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If a set is a frequent set and no superset of this set is a frequent set, then it is called ________

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All set of items whose support is greater than the user-specified minimum support are called as _____________

Last updated: Wed, 26 Nov