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To join a sequence of arrays, use the numpy.stack() method in Python Numpy. The function returns the stacked array has one more dimension than the input arrays. The axis parameter specifies the index of the new axis in the dimensions of the result. For example, if axis=0 it will be the first dimension and if axis=-1 it will be the last dimension.The out parameter, if provided, the destination to place the result. The shape must be correct, matching that of what stack would have returned if no out argument were specified.StepsAt first, import the required library −import numpy as npCreating ... Read More
Squeeze the Array shape using the numpy.squeeze() method. This removes axes of length one from an array over specific axis. The axis is set using the "axis" parameter. We have set axis 0 here.The function returns the input array, but with all or a subset of the dimensions of length 1 removed. This is always a itself or a view into the input array. If all axes are squeezed, the result is a 0d array and not a scalar.The axis selects a subset of the entries of length one in the shape. If an axis is selected with shape entry ... Read More
Squeeze the Array shape using the numpy.squeeze() method. This removes axes of length one from an array over specific axis. The axis is set using the "axis" parameter.The function returns the input array, but with all or a subset of the dimensions of length 1 removed. This is always a itself or a view into the input array. If all axes are squeezed, the result is a 0d array and not a scalar.The axis selects a subset of the entries of length one in the shape. If an axis is selected with shape entry greater than one, an error is ... Read More
Squeeze the Array shape using the numpy.squeeze() method in Python Numpy. This will remove axes of length one from an array. The function returns the input array, but with all or a subset of the dimensions of length 1 removed. This is always a itself or a view into the input array. If all axes are squeezed, the result is a 0d array and not a scalar.The axis selects a subset of the entries of length one in the shape. If an axis is selected with shape entry greater than one, an error is raised.StepsAt first, import the required library ... Read More
To expand the shape of an array, use the numpy.expand_dims() method. Insert a new axis that will appear at the axis position in the expanded array shape. The function returns the View of the input array with the number of dimensions increased.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 array libraries.StepsAt first, import the required library −import numpy as npCreating an array using the array() method −arr = np.array([[5, 10, 15], [20, 25, 30]]) Display ... Read More
Privacy-preserving data mining is an application of data mining research in response to privacy security in data mining. It is called a privacy-enhanced or privacy-sensitive data mining. It deals with obtaining true data mining results without disclosing the basic sensitive data values.Most privacy-preserving data mining approaches use various form of transformation on the data to implement privacy preservation. Generally, such methods decrease the granularity of description to keep privacy.For instance, they can generalize the data from single users to users groups. This reduction in granularity causes loss of data and probably of the utility of the data mining results. This ... Read More
Recommender systems can use a content-based approach, a collaborative approach, or a hybrid approach that combines both content-based and collaborative methods.Content-based − In the content-based approach recommends items that are same to items the customer preferred or queried in the previous. It depends on product features and textual item definition.In content-based methods, it is calculated based on the utilities assigned by the similar user to different items that are same. Many systems target on recommending items including textual data, including websites, articles, and news messages. They view for commonalities between items. For movies, they can view for same genres, directors, ... Read More
An intrusion can be represented as any set of services that threaten the integrity, confidentiality, or accessibility of a network resource (e.g., user accounts, file systems, system kernels, etc).Intrusion detection systems and intrusion prevention systems both monitor network traffic and system performance for malicious activities. The former produces documents whereas the latter is located in-line and is able to actively avoid/block intrusions that are identified.The advantage of an intrusion prevention system are to recognize malicious activity, log data about said activity, tries to block/stop activity, and document activity. Data mining methods can support an intrusion detection and prevention system to ... Read More
Data mining is the process of finding useful new correlations, patterns, and trends by transferring through a high amount of data saved in repositories, using pattern recognition technologies including statistical and mathematical techniques. It is the analysis of factual datasets to discover unsuspected relationships and to summarize the records in novel methods that are both logical and helpful to the data owner.The security of our computer systems and information is at continual risk. The huge growth of the web and the increasing accessibility of tools and tricks for intruding and attacking webs have prompted intrusion detection and avoidance to become ... Read More
There are various roles of data mining in science and engineering are as follows −Data warehouses and data preprocessing − Data preprocessing and data warehouses are important for data exchange and data mining. It is making a warehouse requires discovering means for resolving inconsistent or incompatible information collected in several environments and at multiple time periods.This needed reconciling semantics, referencing systems, mathematics, measurements, efficiency, and precision. Methods are needed for integrating data from heterogeneous sources and for identifying events.Mining complex data types − Numerical data sets are heterogeneous in nature. They generally contains semi-structured and unstructured data, including multimedia data ... Read More