We develop an algorithm for efficiently joining relations on interval-based attributes with overlap predicates, which, example, are commonly found in temporal databases. Using a new data structure and lazy evaluation technique, we able to achieve impressive performance gains by optimizing memory accesses exploiting features of modern CPU architectures. In experimental real-world datasets our is outperform the state-of-the-art order magnitude.

Abstract Temporal information plays a crucial role in many database applications, however support for queries on such data is limited. We present an index structure, termed RD-index , to range-duration over interval timestamped relations, which constrain both the range of tuples’ positions timeline and their duration . grid structure two-dimensional space, representing position timestamps, respectively. Instead using regular grid, we consider distribution construction order ensure that each...

Each tuple in a valid-time relation includes an interval attribute T that represents the tuple's valid time. The overlap join between two relations determines all pairs of tuples with overlapping intervals. Although joins are common, existing partitioning and indexing schemes inefficient if data long-lived or intervals intersect partition boundaries.

In order to process interval timestamped data, the sequenced semantics has been proposed. This paper presents a relational algebra solution that provides native support for three properties of semantics: snapshot reducibility, extended and change preservation. We introduce two temporal primitives, splitter aligner, define rules use these primitives reduce operators their nontemporal counterparts. Our supports through adjustment timestamp propagation. have implemented reduction in kernel...

Many databases contain temporal, or time-referenced, data and use intervals to capture the temporal aspect. While SQL-based database management systems (DBMSs) are capable of supporting interval data, support they offer can be improved considerably. A range proposed models query languages ample evidence this effect. Natural queries that very difficult formulate in SQL easy these languages. The increased focus on analytics over historical where generally more complex exacerbates difficulties...

Time series data is ubiquitous but often incomplete, e.g., due to sensor failures and transmission errors. Since many applications require complete data, missing values must be imputed before further processing possible. We propose Top-k Case Matching (TKCM) impute in streams of time data. TKCM defines for each a set reference exploits similar historical situations the imputation. A situation characterized by anchor point pattern that consists l consecutive measurements over series. value s...

Time series databases are essential for the large-scale deployment of many critical industrial applications. In infrastructure monitoring, instance, a database system should be able to process large amounts sensor data in real-time, execute continuous queries, and handle complex analytical queries such as anomaly detection or forecasting. Several benchmarks have been proposed evaluate understand how existing systems design choices specific use cases workloads. Unfortunately, none them fully...

We propose DigitHist, a histogram summary for selectivity estimation on multi-dimensional data with tight error bounds. By combining and one-dimensional histograms along regular grids of different resolutions, DigitHist provides an accurate reliable approach data. To achieve compact summary, we use sparse representation combined novel compression technique that chooses higher resolution in dense regions lower elsewhere. For the construction new measure, termed u -error, which minimizes width...

Snapshot semantics is widely used for evaluating queries over temporal data: relations are seen as sequences of snapshot relations, and evaluated at each snapshot. In this work, we demonstrate that current approaches interval-timestamped multiset subject to two bugs regarding aggregation bag difference. We introduce a novel data model based on K -relations overcomes these prove it correctly encode semantics. Furthermore, present an efficient implementation our database middleware...

Abstract We develop a family of efficient plane-sweeping interval join algorithms for evaluating wide range predicates such as Allen’s relationships and parameterized relationships. Our technique is based on framework, components which can be flexibly combined in different manners to support the required relation. In temporal databases, our exploit well-known flexible access method, Timeline Index, thus expanding set operations it supports even further. Additionally, employing compact data...

Experience and evaluation research on sustainable products’ design is increasingly supported by eye-tracking tools. In particular, many studies have investigated the effect of gazing at or fixating Areas Interest evaluations, in a number cases, they inferred critical graphical elements leading to preference products. This paper motivated lack generalizability results these studies, which predominantly targeted specific products Interest. addition, it has also been overlooked that observation...

Abstract Joins are essential and potentially expensive operations in database management systems. When data is associated with time periods, joins commonly include predicates that require pairs of argument tuples to overlap order qualify for the result. Our goal enable built-in systems support such joins. In particular, we present an approach where formulated as unions range joins, which more general purpose compared i.e., useful their own right, supported well by B+-trees. The sufficiently...

In valid-time databases with interval timestamping each tuple is associated a time over which the recorded fact true in modeled reality. The adjustment of these intervals an essential part processing timestamped data. Some attribute values remain valid if changes, whereas others have to be scaled along interval. For example, attributes that record total (cumulative) quantities time, such as project budgets, sales or costs, often must timestamp adjusted. goal this demo show how support...

Today, most commercial database systems provide some support for the management of temporal data, but index efficiently accessing such data is rather limited. Existing access paths neglect fact that time intervals are located on timeline and have a duration, two important pieces information querying data.

Despite the ubiquity of temporal data and considerable research on processing such data, database systems largely remain designed for current state some modeled reality. More recently, we have seen an increasing interest in historical or data. The SQL:2011 standard introduced features, commercial management started to offer functionalities a step-by-step manner. There has also been proposal more fundamental comprehensive solution sequenced queries, which allows tight integration into...

Powder metallurgy (PM) is the branch of that deals with design/production near-net-shaped sintered workpieces different shapes and characteristics. The produced are used in automotive, aviation, aerospace industries, just to name a few. quality largely depends on powder compaction techniques accurate adjustments process parameters. Currently, these parameters done manually thus resulting laborious time-intensive effort. To this end, article explores use machine learning (ML) proposes an...

In this paper, we present the VISOR tool, which helps user to explore data and their summary structures by visualizing relationships between size k of a induced error. Given an ordered dataset, allows vary immediately see effect on error, error its dependency in ϵ-graph Δ-graph, respectively. The can easily different values determine best value for size. also compare summarization methods, such as piecewise constant approximation, aggregation approximation or V-optimal histograms. We show...

Abstract In this paper, we study various ways of representing and querying fact data that are time-stamped with a time period in warehouse. The main focus is on how to represent the periods associated facts order support convenient efficient aggregations over time. We propose three distinct logical models as sets all points (instant model), pairs start end (period atomic units explicitly stored new dimension (period∗ model). enriched information about days each period, thereby combining...