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Articles on Trending Technologies
Technical articles with clear explanations and examples
How can automated document classification be performed?
Automated document classification is an essential text mining service because the existence of a tremendous number of on-line files, it is endless yet important to be able to automatically organize such records into classes to support document retrieval and sucessive analysis.Document classification has been used in automated topic tagging (i.e., assigning labels to documents), topic directory construction, and identification of the document writing styles and defining the goals of hyperlinks related to a set of documents.A general procedure is as follows − First, a group of preclassified files is taken as the training set. The training set is analyzed to ...
Read MoreWhat about using statistical techniques for spatial data mining?
Statistical spatial data analysis has been a famous techniques to exploring spatial data and analysing geographic data. The term geostatistics is related to continuous geographic area, whereas the term spatial statistics is related to discrete space.In a statistical model that manages non-spatial records, one generally consider statistical independence between different areas of data. However, different from traditional data sets, there is no such independence among spatially distributed data because in reality, spatial objects are often interrelated, or more exactly spatially colocated, in the sense that the closer the two objects are placed, the more possible they share same properties.For instance, ...
Read MoreHow can generalization be performed on such data?
A set-valued attribute can be of homogeneous or heterogeneous type. Generally, set-valued information can be generalized byGeneralization of every value in the set to its equivalent higher-level conceptDerivation of the usual behavior of the set, including the multiple elements in the set, the types or value ranges in the set, the weighted average for statistical data, or the major clusters formed by the set.Furthermore, generalization can be implemented by using several generalization operators to analyse alternative generalization paths. In this method, the result of generalization is a heterogeneous set.Example − Suppose that the hobby of a person is a set-valued ...
Read MoreWhat is Tuple ID Propagation?
Tuple ID propagation is an approach for implementing virtual join, which highly improves effectiveness of multirelational classification. Rather than physically joining relations, they are virtually combined by connecting the IDs of target tuples to tuples in non-target relations.In this method the predicates can be computed as if a physical join were implemented. Tuple ID propagation is flexible and effectiveness, because IDs can simply be propagated between some two relations, needing only small amounts of data transfer and more storage space. By doing so, predicates in multiple relations can be computed with small redundant computation.Tuple ID propagation must be enforced with ...
Read MoreWhat is the BLAST Local Alignment Algorithm?
The BLAST algorithm was produced by Altschul, Gish, Miller, around 1990 at the National Center for Biotechnology Information (NCBI). BLAST is used to derive functional and evolutionary relationships among sequences and to help recognize members of gene families.The NCBI website includes several common BLAST databases. As per their content, they are combined into nucleotide and protein databases. NCBI also supports specialized BLAST databases including the vector screening database, there are several genome databases for multiple organisms, and trace databases.BLAST uses a heuristic approaches to discover the largest local alignments between a query sequence and a database. BLAST increase the complete ...
Read MoreWhy is it useful to compare and align biosequences?
The alignment depends on the fact that all living organisms are associated by evolution. This uses that the nucleotide (DNA, RNA) and proteins series of the species that are nearer to each other in evolution must exhibit higher similarities.An alignment is the phase of lining up sequences to obtain a maximal level of identity, which also defines the degree of similarity among sequences. There are two sequences are homologous if they send a common ancestor.The degree of similarity acquired by sequence alignment can be beneficial in deciding the possibility of homology among two sequences. Such an alignment support decide the ...
Read MoreMultiply each element of a masked Array by a scalar value in-place in Numpy
To multiply each element of a masked Array by a scalar value in-place, use the ma.MaskedArray.__imul__() method in Python Numpy. A masked array is the combination of a standard numpy.ndarray and a mask. A mask is either nomask, indicating that no value of the associated array is invalid, or an array of booleans that determines for each element of the associated array whether the value is valid or not.NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. It supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and ...
Read MoreWhat is GSP?
GSP stands for Generalised Sequential Patterns. It is a sequential pattern mining method that was produced by Srikant and Agrawal in 1996. It is an expansion of their seminal algorithm for usual itemset mining, referred to as Apriori. GSP needs the downward-closure natures of sequential patterns and adopts a several-pass, students create-and-test approach.The algorithm is as follows. In the first scan of the database, it can discover some frequent items, i.e., those with minimum support. Each item yields a 1-event frequent sequence including that item. Each subsequent pass begins with a seed group of sequential patterns and the group of ...
Read MoreSubtract a scalar value from each element of a Masked Array in-place in Numpy
To subtract a scalar value from each element of a masked Array in-place, use the ma.MaskedArray.__isub__() method in Python Numpy.A masked array is the combination of a standard numpy.ndarray and a mask. A mask is either nomask, indicating that no value of the associated array is invalid, or an array of booleans that determines for each element of the associated array whether the value is valid or not.NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. It supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse ...
Read MoreCompute the bit-wise NOT of an array element-wise in Numpy
To compute the bit-wise NOT of an array element-wise, use the numpy.bitwise_not() method in Python Numpy. Computes the bit-wise NOT of the underlying binary representation of the integers in the input arrays. This ufunc implements the C/Python operator ˜.The where parameter is the condition broadcast over the input. At locations where the condition is True, the out array will be set to the ufunc result. Elsewhere, the out array will retain its original value. Note that if an uninitialized out array is created via the default out=None, locations within it where the condition is False will remain uninitialized.StepsAt first, import ...
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