Download JAR files tagged by ordering with all dependencies

Predicate and ordering for java.util.stream.Stream using a minimal query language.

A mutable Java collection containing unique elements with priority-based ordering.

VanillaComm is a collection of reliable group communication primitives (e.g., total-ordering) that can benefit the distributed database systems (e.g., eager-replication, NewSQL database systems).

An OrderedSet extends the standard Java collections framework to provide composite-key based ordering of a set of values (analogous to composite key ordering in a relational database).

encoding scalar and simple aggregate data with a static lexicographical ordering matching a defined runtime collation order

The Continual.io event receiver API, which ingests event streams from arbitrary client sources, honors ordering in the event stream via event stream name (aka partition key), and writes to a back-end implementation like Kafka.

This library aims to help making notification popups easy to manage. It takes care of placing, ordering and killing of notifications automatically by time as well as manually by mouse clicking.

The OPTICS and DBScan clustering algorithms. Martin Ester, Hans-Peter Kriegel, Joerg Sander, Xiaowei Xu: A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise. In: Second International Conference on Knowledge Discovery and Data Mining, 226-231, 1996; Mihael Ankerst, Markus M. Breunig, Hans-Peter Kriegel, Joerg Sander: OPTICS: Ordering Points To Identify the Clustering Structure. In: ACM SIGMOD International Conference on Management of Data, 49-60, 1999.

Extension of BestFirst. Takes a restricted number of k attributes into account. Fixed-set selects a fixed number k of attributes, whereas k is increased in each step when fixed-width is selected. The search uses either the initial ordering to select the top k attributes, or performs a ranking (with the same evalutator the search uses later on). The search direction can be forward, or floating forward selection (with opitional backward search steps). For more information see: Martin Guetlein (2006). Large Scale Attribute Selection Using Wrappers. Freiburg, Germany.