This process.noDeprecation() method states whether the --no- Deprecation flag is set or not on the current Node.js project. This Boolean flag controls whether the deprecation warning messages are printed to stderr or not. Setting this flag as True will silence all the deprecation warnings.Syntaxprocess.noDeprecation( )Example 1Create a file with the name "noDeprecation.js" and copy the following code. After creating the file, use the command "node noDeprecation.js" to run this code as shown in the example below// process.noDeprecation() Demo Example // Importing the process module const process = require('process'); // Printing noDeprecation default value console.log(process.noDeprecation);Output 1undefined Output 2trueExample 2Let's ... Read More
Chameleon is a hierarchical clustering algorithm that uses dynamic modeling to decide the similarity among pairs of clusters. It was changed based on the observed weaknesses of two hierarchical clustering algorithms such as ROCK and CURE.ROCK and related designs emphasize cluster interconnectivity while neglecting data regarding cluster proximity. CURE and related design consider cluster proximity yet neglect cluster interconnectivity. In Chameleon, cluster similarity is assessed depending on how well-connected objects are inside a cluster and on the proximity of clusters. Especially, two clusters are combined if their interconnectivity is high and they are close together.It does not base on a ... Read More
The dns.resolvePtr() method uses the DNS protocol to resolve the pointer records (PTR Records) for the hostname. The addresses argument passed to the callback function will contain the reply records as an array of strings.Syntaxdns.resolvePtr(hostname, callback)Parametershostname - This parameter takes the input for the hostname to be resolved.callback - This function will catch errors, if any.records − Returns PTR records for the hostname.Example 1Create a file with the name "resolvePtr.js" and copy the following code. After creating the file, use the command "node resolvePtr.js" to run this code as shown in the example below// dns.resolvePtr() Demo Example // Importing ... Read More
The dnsPromises.resolveSoa() method uses the DNS protocol to resolve the Start of Authority records (SOA Records) for the hostname. On success, the promise is resolved with the following propertiesnsnamehostmasterserialrefreshretryexpireminttlSyntaxdnsPromises.resolveSoa( hostname )Parametershostname - This parameter takes the input for the hostname to be resolved.Example 1Create a file with the name "resolveSoa.js" and copy the following code. After creating the file, use the command "node resolveSoa.js" to run this code as shown in the example below// dns.resolveSoa() Demo Example // Importing the dns module const dns = require('dns'); const dnsPromises = dns.promises; // Passing IP to find the hostname TXT ... Read More
A classic k-medoids partitioning algorithm like PAM works efficiently for small data sets but does not scale well for huge data sets. It can deal with higher data sets, a sampling-based method, known as CLARA (Clustering Large Applications), can be used.The approach behind CLARA is as follows: If the sample is chosen in a fairly random manner, it must closely define the original data set. The representative objects (medoids) chosen will be similar to those that would have been selected from the entire data set. CLARA draws several samples of the data set, applies PAM on each sample, and returns ... Read More
There are the following requirements of clustering in data mining which are as follows −Scalability − Some clustering algorithms work well on small data sets including fewer than some hundred data objects. A huge database can include millions of objects. Clustering on a sample of a given huge data set can lead to partial results. Highly scalable clustering algorithms are required.Ability to deal with different types of attributes − Some algorithms are designed to cluster interval-based (numerical) information. However, applications can require clustering several types of data, including binary, categorical (nominal), and ordinal data, or a combination of these data ... Read More
There are some variations of the Apriori algorithm that have been projected that target developing the efficiency of the original algorithm which are as follows −The hash-based technique (hashing itemsets into corresponding buckets) − A hash-based technique can be used to decrease the size of the candidate k-itemsets, Ck, for k > 1. For instance, when scanning each transaction in the database to create the frequent 1-itemsets, L1, from the candidate 1-itemsets in C1, it can make some 2-itemsets for each transaction, hash (i.e., map) them into the several buckets of a hash table structure, and increase the equivalent bucket ... Read More
The client.end(flush) method forcibly closes all the connection to the Redis server without waiting until all the replies have been parsed. This method just closes all the connection and ongoing streaming between the Node and Redis server. If you want to exit cleanly, you should use client.quit() method.Syntaxclient.end(flush)Parametersflush - This input parameter will hold a Boolean value that will indicate whether to close a connection or not.Example 1Create a file with the name "clientEnd.js" and copy the following code. After creating the file, use the command "node clientEnd.js" to run this code as shown in the example below −// client.end() ... Read More
Node.js Redis offers certain properties which can be used as per your usecase. One such property is detect_buffers.If this property is set to True, then the replies that are sent to the callbacks are sent as buffers.This option lets you switch between the buffer and strings based upon this single command basis.This property does not work with pub-sub mode.SyntaxdetectBuffers: trueExample 1Create a file with the name "detectBuffers.js" and copy the following code. After creating the file, use the command "node detectBuffers.js" to run this code, as shown in the example below:// detect_buffers Property Demo Example // Importing the redis ... Read More
There are the various web-based tools which are as follows −Arbor Essbase Web − This tool provides features as drilling up, down, across; slice and dice, and powerful reporting, all for OLAP. It also provides data entry, such as full multi-user concurrent write capabilities. Arbor Essbase is only a server product, no user package exists, thus assuring its own desktop client version market. The Web product does not restore administrative and development structures but it restores only user access for queries and updates.Information Advantage Web OLAP − This product uses a server-centric messaging architecture, composed of a powerful analytic engine ... Read More
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