The Top Ten Algorithms in Data Mining. New York:CRC Press;2009Z.-H. Zhou and Y. Yu. AdaBoost. In X. Wu and V. Kumar, editors, The Top Ten Algo- rithms in Data Mining. Chapman & Hall, Boca Raton, FL, 2009.Ghosh, J., Liu, A.: K-Means. In: X. Wu, V. Kumar (eds.)...
This method is an application of algorithms: Close+ for an object views classification purpose Algorithm for extracting association rules in order to extract the characteristic view. We use the geometric descriptor of Zernike Moments to index 2D views of 3D object. The proposed method ...
Apache Mahout is a project developed byApache Foundationthat serves the primary purpose of creating machine learning algorithms. It focuses mainly on data clustering, classification, and collaborative filtering. Mahout is written in JAVA and includes JAVA libraries to perform mathematical operations like l...
The Cell Broadband Engine (CBE) is a new heterogeneous multi-core processor from IBM, Sony and Toshiba, and provides the potential to achieve an impressive level of performance for data mining algorithms. In this paper, we describe our implementation of three important classes of data mining algo...
Extend Its Functionality: Do more with pre-stored plugins from the RapidMiner Marketplace and community-contributed algorithms. Primary Features Parallel Processing: Speed up data mining with the Parallel Processing Extension, the Subprocess operator and the parallel execution framework. In-Database Process...
Its process-focused design and inbuilt machine learning algorithms make it an ideal data mining tool for those without extensive technical skills, but who nevertheless require the ability to carry out complicated tasks. The drag and drop interface reduces the learning curve that you’d face using ...
accommodating massive amounts of data without notably raising costs. The performance of Huawei’s storage solutions comes from their adoption of innovative software (advanced data coding and compression algorithms) and hardware technologies. This creates higher system density, increasing the storage capacity...
Sentiment analysis and opinion mining are features offered by the Language service, a collection of machine learning and AI algorithms in the cloud for developing intelligent applications that involve written language. These features help you find out what people think of your brand or topic ...
RAM is more limited than disk, so cache invalidation algorithms such as least recently used (LRU) can help invalidate 'cold' entries and keep 'hot' data in RAM.Redis has the following additional features:Persistence option Built-in data structures such as sorted sets and lists...
Data-driven algorithms are studied and deployed in diverse domains to support critical decisions, directly impacting people’s well-being. As a result, a growing community of researchers has been investigating the equity of existing algorithms and proposing novel ones, advancing the understanding of ri...