Crossword Solver > found answer > BLOOMFILTER (bloom filter)

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bloomfilter

bloom filter

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The answer BLOOMFILTER (bloom filter) has 0 possible clue(s) in existing crosswords.

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The word BLOOMFILTER (bloom filter) is NOT valid in any word game. (Sorry, you cannot play BLOOMFILTER (bloom filter) in Scrabble, Words With Friends etc)

There are 11 letters in BLOOMFILTER ( B3E1F4I1L1M3O1R1T1 )

To search all scrabble anagrams of BLOOMFILTER, to go: BLOOMFILTER?

Rearrange the letters in BLOOMFILTER and see some winning combinations

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8 letters out of BLOOMFILTER

BLOOMIER FORELIMB

7 letters out of BLOOMFILTER

BLOOMER BOOMIER BOOMLET EMBROIL FILBERT FILEMOT FOOTIER FOOTLER LOFTIER MELILOT MORELLO MOTLIER REBLOOM TEMBLOR TIMBREL TIMOLOL TREFOIL TREMOLO

6 letters out of BLOOMFILTER

BEFOOL BIFORM BILLER BILLET BLOOIE BOILER BOLERO BOLETI BOLTER BOOMER BOOTIE BRILLO EMBOLI FILLER FILLET FILMER FILTER FIMBLE FLOOIE FLORET FOETOR FOIBLE FOMITE FOOTER FOOTIE FOOTLE FORMOL LIFTER LIMBER LOFTER LOITER LOOTER MERLOT MILLER MILLET MILTER MOBILE MOILER MOLLIE MOLTER MOOTER MOTILE OOLITE ORIOLE REBILL REBOIL REBOOT REFILL REFILM RETOOL RIBLET RILLET ROOFIE ROOMIE ROOTLE TILLER TIMBER TIMBRE TOILER TOLLER TOOLER TRIFLE

5 letters out of BLOOMFILTER

BEFIT BIOME BIRLE BITER BLITE BLOOM BOITE BOTEL BRIEF BRILL BROIL BROME BROMO BROOM FERMI FETOR FIBER FIBRE FILER FILET FILLE FILLO FLIER FLIRT FLITE FLOOR FOLIO FORME FORTE FRILL ILLER LIBEL LIBER LIFER LIMBO LIROT LITER LITRE LOOIE MERIT METOL METRO MILER MILLE MITER MITRE MOIRE MOLTO MOREL MOTEL MOTIF MOTOR OBELI OBOLE OBOLI OFTER OILER OMBER OMBRE OORIE ORBIT ORIEL REFIT RELIT REMIT REOIL RIFLE RILLE ROBLE ROBOT ROMEO TELOI TILER TIMER TOILE TRIBE TRILL TRIOL TROLL

4 letters out of BLOOMFILTER

BELL BELT BERM BIER BILE BILL BIRL BIRO BITE BLET BLOT BOIL BOLE BOLL BOLO BOLT BOOM BOOR BOOT BORE BORT BRIE BRIM BRIO BRIT BROO EMIR EMIT FELL FELT FILE FILL FILM FILO FIRE FIRM FLIR FLIT FLOE FOIL FOOL FOOT FORB FORE FORM FORT FRET FRIT FROE FROM ITEM LEFT LIEF LIER LIFE LIFT LILO LILT LIMB LIME LIMO LIRE LITE LOBE LOBO LOFT LOOF LOOM LOOT LORE LOTI MELL MELT MERL MILE MILL MILO MILT MIRE MITE MOIL MOLE MOLL MOLT MOOL MOOR MOOT MORE MORT MOTE OBIT OBOE OBOL OLEO OLIO OMER OMIT ORLE REFT REIF RIEL RIFE RIFT RILE RILL RIME RIOT RITE ROBE ROIL ROLE ROLF ROLL ROOF ROOM ROOT ROTE ROTI ROTL ROTO TELL TERM TIER TILE TILL TIME TIRE TIRL TIRO TOIL TOLE TOLL TOMB TOME TOOL TOOM TORE TORI TORO TREF TRIM TRIO

3 letters out of BLOOMFILTER

BEL BET BIO BIT BOO BOT BRO EFT ELF ELL ELM FEM FER FET FIB FIE FIL FIR FIT FOB FOE FOR FRO ILL IRE LEI LET LIB LIE LIT LOB LOO LOT MEL MET MIB MIL MIR MOB MOL MOO MOR MOT OBE OBI OFT OIL OLE OOT ORB ORE ORT REB REF REI REM RET RIB RIF RIM ROB ROE ROM ROT TEL TIE TIL TOE TOM TOO TOR

2 letters out of BLOOMFILTER

BE BI BO EF EL EM ER ET FE IF IT LI LO ME MI MO OE OF OI OM OR RE TI TO

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Definitions of bloom filter in various dictionaries:

BLOOM FILTER - A Bloom filter is a space-efficient probabilistic data structure, conceived by Burton Howard Bloom in 1970, that is used to test whether an element i...

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Bloom filter description
A Bloom filter is a space-efficient probabilistic data structure, conceived by Burton Howard Bloom in 1970, that is used to test whether an element is a member of a set. False positive matches are possible, but false negatives are not – in other words, a query returns either "possibly in set" or "definitely not in set". Elements can be added to the set, but not removed (though this can be addressed with a "counting" filter); the more elements that are added to the set, the larger the probability of false positives.
* Bloom proposed the technique for applications where the amount of source data would require an impractically large amount of memory if "conventional" error-free hashing techniques were applied. He gave the example of a hyphenation algorithm for a dictionary of 500,000 words, out of which 90% follow simple hyphenation rules, but the remaining 10% require expensive disk accesses to retrieve specific hyphenation patterns. With sufficient core memory, an error-free hash could be used to eliminate all unnecessary disk accesses; on the other hand, with limited core memory, Bloom's technique uses a smaller hash area but still eliminates most unnecessary accesses. For example, a hash area only 15% of the size needed by an ideal error-free hash still eliminates 85% of the disk accesses.More generally, fewer than 10 bits per element are required for a 1% false positive probability, independent of the size or number of elements in the set.
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