Bloom filters make use of a “probabilistic” hash-coding method to reduce the amount of space required to store a hash set. A Bloom filter offers a trade-off between its size and the probability that the filter returns the wrong result. It does this without storing the entire set, at the cost of occasionally incorrectly answering yes to the question “is x a member of s?”. The paper discusses how...

We propose an indexing data structure based on a novel variation of Bloom filters. Signature files have been proposed in the past as a method to index large text databases though they suffer from a high false positive error problem. In this paper we introduce COCA Filters, a new type of Bloom filters which exploits the co-occurrence probability of words in documents to reduce the false positive...

We consider the problem of using image queries to retrieve videos from a database. Our focus is on large-scale applications, where it is infeasible to index each database video frame independently. Our main contribution is a framework based on Bloom filters, which can be used to index long video segments, enabling efficient image-to-video comparisons. Using this framework, we investigate severa...

We consider the combination of two ideas from the hashing literature: the power of two choices and Bloom filters. Specifically, we show via simulations that, in comparison with a standard Bloom filter, using the power of two choices can yield modest reductions in the false positive probability using the same amount of space and more hashing. While the improvements are sufficiently small that th...

N important question in political economy A.’ ts how, if at all, economic events affect voting behavior. Although there is by now a fairly large literature devoted to this question,’ there is no widely agreed upon answer. Kramer (1971), for example, concluded from his analysis of U.S. voting behavior that economic fluctuations have an important influence on congressional elections, whereas Stig...

We devise a novel method of interactive set reconciliation for efficient block distribution. Our approach, called Graphene, couples a Bloom filter with an IBLT. We evaluate performance analytically and show that Graphene blocks are always smaller. For example, while a 17.5 KB Xtreme Thinblock can be encoded in 10 KB with Compact Blocks, the same information can be encoded in 2.6 KB with Graphen...

This paper aims at exploring the characteristics and skills required of mental Health human services workers. An analysis of the vital skills will be presented and the fundamental characteristics such as having a caring heart, patience, compassionate, and driven with the desire to see all people gain the best out of their lives. This is because the success of our lives is driven with having a s...

In operation research, there is no single method available for solving all optimization problems. Hence a number of techniques have been developed for solving different types of optimization problems. Optimization is the act of obtaining the best result under given circumstances. The ultimate goal of optimization is either to minimize the efforts required or to maximize the desired benefit [5]....

Bloom filters are widely used although not always optimal. Notably in application areas where false negatives are bearable, other techniques can clearly be better. This master thesis shows that at least for a specific area in the parameter space Bloom filters are significantly outperformed even by trivial methods. We provide an analysis, show that many application areas where Bloom filters are ...