According to the apparatus, the method, the chip and the processor, the complexity of all sorting algorithms related to comparison is lowered to 1/n of the original complexity; meanwhile, continuous access of n unit data reduces access overhead to a certain extent, so that the executive speed...
By ignoringand, we transform the big data into a high-dimensional space of. In the transformation, the underlying assumption is that personal preferences have adequately reflected the ignored data. A significant reason for the assumption is the informational efficiency in the preference revelation. The...
Save time on deep dives, earnings reports, and sector research. Automate repetitive tasks so you can focus on making smarter investment decisions, not sorting through endless data. Everything you need to stay informed and in control — without the grunt work. ...
We sincerely invite you to the first Alibaba Cloud AI & Big Data Summit in Singapore on January 30, 2024, a convergence of thought leaders, industry experts, and visionaries who share a passion for AI and data science. Join us for the event that's set to redefine the landscape of AI ...
Speed layer.Accommodates all requests that are subject to low latency requirements. Using fast and incremental algorithms, the speed layer deals with recent data only. There are many tools that can be applied to each of these architectural layers. For instance, the raw results could simply be ...
In one embodiment, instead of using sorted temp files or running sorting algorithms, a meta-join and/or meta-group-by indexes may be generated or created that provide a quick access to the records in the datasets. Moreover, embodiments of the invention eliminate the need to sort or pre-...
CCFD Dataset: Created in 2023, it contains credit card transactions by European card holders. This dataset contains over 550,000 records, and the data is anonymized to protect the cardholders’ information. This dataset aims to improve the algorithms and models to increase the performance of dete...
Big data can be described as the high-volume, high-velocity, and high-variety of information that demands innovative forms of information processing to gain insights and for decision-making[47]. Typically, big data is characterized with 6 traits, generally referred to as the 6V’s. ...
A MongoDB database stores data in JSON documents, which provide a rich data model that maps effortlessly to native programming languages. MongoDB has several features that are unavailable in a traditional RDBMS, such as dynamic queries, secondary indexes, rich updates, sorting, and easy aggregation...
Data mining algorithms tend to assume that any data set is a sample of an underlying distribution with no disturbances. As we have seen in the previous section, data gathering is rarely perfect, and corruptions often appear. Since the quality of the results obtained by a data mining technique...