Efficient query processing is underpinned by the design and implementation of novel data structures and algorithms that address the increasing demands of modern data-intensive applications.

Spatial data processing and query algorithms underpin a critical component of modern geospatial analysis, enabling efficient handling and interrogation of vast and complex datasets.

The Multi-Query Optimization (MQO) problem is a class of data-intensive problems that are NP-hard, and it has applications in many fields such as database query optimization, machine learning ...

Move over, Google search algorithm hand-crafted by hard-working Google engineers. RankBrain has moved in, a machine-learning artificial intelligence that Google’s been using to process a “very ...

the development of an innovative hybrid algorithm that combines the advantages of classical and quantum computing to optimize Multi-Query Optimization (MQO) problems.

Data stream processing applications can produce estimates of the results by using approximate computing algorithms/data structures such as HyperLogLog, Count-min Sketch, etc.

About MicroAlgo Inc. MicroAlgo Inc. (the "MicroAlgo"), a Cayman Islands exempted company, is dedicated to the development and application of bespoke central processing algorithms.

The Global Event Stream Processing Market is valued at approximately USD $$ billion in 2022 and is anticipated to grow with a healthy CAGR of more than $% over the forecast period 2023-2030. Event ...

Natural language processing algorithms like the ones used in Google searches and OpenAI’s ChatGPT promise to slash the time required to bring medications to market ...

Graph analytics is a hot topic, but what does it mean? At the DC GraphTour, I learned the difference between graph queries, graph algorithms, and graph analytics. Next up: San Francisco GraphTour.