Tera-scale deep learning - Google
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Features)for)Tumor)Signatures.%ISBI,%2012.%% • I.J.%Goodfellow,%Q.V.%Le,%A.M.%Saxe,%H.%Lee,%A.Y.%Ng,%%Measuring)invariances)in) deep)networks.%NIPS,%2009.% References% hQp://ai.stanford.edu/~quocle On the Predictability of Search Trends Yair Shimshoni Niv Efron Yossi Matias Google, Israel Labs Draft date: August 17, 2009 1. Introduction Since Google Trends and Google Insights for Search were launched, they provide a daily insight into what the world is searching for on Google, by showing the relative volume of search traffic in Google for any search query. An understanding of web search trends can be useful for advertisers, marketers, economists, scholars, and anyone else interested in knowing more about their world and what's currently top-of-mind. The trends of some search queries are quite seasonal and have repeated patterns. See, for instance, the search trends for ski in the US and in Australia peak during the winter season; or check out how search trends for basketball correlate with annual league events and how consistent it is year-over-year. When looking at trends of the aggregated volume of search queries related to particular categories, one can also observe regular patterns in at least some of hundreds of categories, like the Food & Drink or Automotive categories. Such trends sequences appear quite predictable, and one would naturally expect the patterns of previous years to repeat looking forward. On the other hand, for many other search queries and categories, the trends are quite irregular and hard to predict. For example, the search trends for Obama, Twitter, Android, or global warming, and trends of aggregate searches in the News & Current Events category. Having predictable trends for a search query or for a group of queries could have interesting ramifications. One could forecast the trends into the future, and use it as a "best guess" for various business decisions such as budget planning, marketing campaigns and resource allocations. One could identify deviation from such forecasting and identify new factors that are influencing the search volume like in the detection of influenza epidemics using search queries [Ginsberg etal. 2009] known as Flu Trends. We were therefore interested in the following questions: • How many search queries have trends that are predictable? • Are some categories more predictable than others? How is the distribution of predictable trends between the various categories? • How predictable are the trends of aggregated search queries for different categories? Which categories are more predictable and which are less so? To learn about the predictability of search trends, and so as to overcome our basic limitation of not knowing what the future will entail, we characterize the predictability of a Trends series based on its historical performance. That is, based on the a posteriori predictability of a sequence determined by the discrepancy of forecast trends applied at some point in the past vs the actual performance.Specifically, we have used a simple forecasting model that learns basic seasonality and general trend. For each trends sequence of interest, we take a point in time, t, which is about a year back, compute a one year forecasting for t based on historical data available at time t, and compare it to the actual trends sequence that occurs since time t. The discrepancy between the forecasting trends and the actual trends characterize the predictability level of a sequence, and when the discrepancy is smaller than a predefined threshold, we denote the trends query as predictable. We investigate time series of search trends provided by Google Insights for Search (I4S), which represent query shares of given search terms (or for aggregations of terms). A query share is the total number of queries for a search term (or an entire search category) in a given geographic region divided by the total number of queries in that region at a given point in time. The query share represents the popularity of a query, or the aggregated search interest that users have in a query, and we will therefore use the term search interest interchangeably with query share. The highlights of our observations can be summarized as follows: • Over half of the most popular Google search queries were found predictable in 12 month ahead forecast, with a mean absolute prediction error of approximately 12% on average. • Nearly half of the most popular queries are not predictable, with respect to the prediction model and evaluation framework that we have used. • Some categories have particularly high fraction of predictable queries; for instance, Health (74%), Food & Drink (67%) and Travel (65%). • Some categories have particularly low fraction of predictable queries; for instance, Entertainment (35%) and Social Networks & Online Communities (27%). • The trends of aggregated queries per categories are much more predictable: 88% of the aggregated category search trends of over 600 categories in Insights for Search are predictable with a mean absolute prediction error of less than 6% on average. • There is a clear association between the existence of seasonality patterns and higher predictability as well as an association between high levels of outliers and lower predictability. Recently the research community has started to use Google search data provided publicly by Google Insights for Search (I4S) as auxiliary indicators for economic forecast. [Choi & Varian 2009] have shown that aggregated search trends of Google Categories can be used as extra indicators and effectively leverage several US econometrics prediction models. [Askitas & Zimmermann 2009] and [Suhoy 2009] have shown similar findings on German and Israeli economic data, respectively. Getting a better insight into the behavior of relevant search trends has therefore high potential applicability for these domains. For queries or aggregated set of queries for which the search trends are predictable, one can use a forecasted trends based on the prediction model as a baseline for identifying deviations in actual trends. Such deviations are of particular interest as they are often indicative of material changes in the domain of the queries. We consider a few examples with observed deviation of actual trends relative to the forecasted trends, including: • Automotive Industry We show that in the recent 12 months there is a positive deviation relative to the forecast baseline (i.e., an increased query share) in the searches of Auto Parts and Vehicle Maintenance while there is a negative deviation (i.e., a decrease in query share) in the searches of Vehicle Shopping and Auto Financing.• US Unemployment In relation with the recent research that showed an improvement in prediction of unemployment rates using Google query shares [Choi and Varian 2009 b], we show that the search interest in the category of Welfare & Unemployment has substantially risen in the last year above the forecast based on the prediction model. We also show that the search interest in the category Jobs has significantly decreased according to the prediction model. • Mexico as Vacation Destination We examine the large decrease in the query share of the category Mexico as a vacation destination, compared to the predictions for the last 12 months. We show that a similar deviation of (actual vs. forecast) query share is not observed for other related categories. • Recession Markers We show several examples that demonstrate possible influences of the recent recession on search behavior, like an observed increase of query share for the category Coupons & Rebate compared to the forecast. We also show a negative deviation between the query share for category Restaurants compared to the forecast, where as the category Cooking and Recipes shows a similar positive deviation. Outline The rest of this paper is organized as follows. In Section 2 we formulate the notion of predictability and describe the method of estimating it along with the evaluation measures, prediction model and the time series data that we use. In Section 3 we describe the experiments we conducted and present their results. In Section 4 we examine the association between the predictability of search interest and the level of seasonality or internal deviation of the underlying search trends. Section 5 will present sensitivity analysis and error diagnostics and in section 6 we discuss the potential use of forecasting as a baseline for identifying deviations from regular search behavior; we demonstrate with some examples that the discrepancies from model predictions can act as signals for recent changes in the query share. 2. Time Series Predictability In this section we define the notion of predictability as we use it in our experiments. Predictability. We characterize the predictability of a time series with respect to a prediction model and a discrepancy measure, as follows. Assume we have: • A time series X={xt-H, ... ,xt+F} with history of size H and a future horizon of size F Denote: X H={xt-H, ... ,xt} and X F={xt+1, ... ,xt+F} • A Prediction model: M, which computes a forecast Y=M(X H ) , where Y={yt+1, ... ,yt+F} • A Discrepancy Measure: D=D(X,Y) • A Threshold: D' Then, we say that X is predictable w.r.t (M,D,D',t,H,F) iff D=D(X,Y) < D' . The size of the discrepancy also characterizes the level of predictability of a series. We will often refer to a trends sequence as predictable (or not-predictable) where the various parameters are implied by the context.Data. The time series that are used in the following experiments are based on Google Insights for Search1 (I4S), which reports the query share for search terms in any time, location and category, as well as capable of reporting the most popular queries within a given time / location / category. A query share is defined as the total number of queries for a search term or a set of terms (e.g., an entire search category) in a given geographic region, divided by the total number of queries in that region, at a given point in time. The I4S categories are organized in a tree-like hierarchical structure, with about 30 root level categories, that are further divided into subcategories in a 3-level taxonomy, to a total of about 600 categories and sub-categories. Each search query is classified by I4S to a single category, nevertheless it will also be counted as a part of the query share to all its 'parent' categories. For each category, I4S calculates an aggregated times series which represents the overall query share of this category (i.e., the combined search interest of all the queries in the category). In order to stay focused on the most influential patterns of the yearly seasonality and overall trend (direction), we are using time series of monthly granularity (i.e., one data point per calendar month) and refer to the entire available period (2004-2009). Obviously search trends with finer granularity (e.g., weekly or daily search data) do capture more patterns of search behavior within the intra-monthly and especially the day-of-week effect, however the fine resolution data is also noisier and thus calls for prediction models with higher complexity and a less homogeneous model space. We leave that for future research. We have extracted time series of the entire available time range (2004-2009)2 that consists of 67 data points, which were partitioned into two parts: 1. The History Period - 55 monthly data points (January 2004 - July 2008) 2. The Forecast Period - 12 monthly data points (August 2008 - July 2009) Throughout the work, we will refer to 3 data sets of time series (with a similar format): 1. Country Data - Includes time series of the query shares for the 10,000 most popular queries in each of these countries: USA, UK, Germany, France and Brazil. 2. Category Data - Includes time series of the query shares for the 1,000 most popular queries in the US, for 10 major I4S categories: Automotive, Entertainment, Finance & Insurance, Food & Drink, Health, Social Networks & Online Communities, Real Estate, Shopping, Telecommunications, and Travel. 3. Aggregated Categories Data - Includes time series of aggregated query shares for about 600 I4S categories, which represent the normalized combined search volume in the US for each respective category. Generic Prediction Model. Our prediction process is based on the STL Procedure [Cleveland et.al. 1990], which is a filtering procedure based on locally weighted least squares for decomposing a given time series X into the Trend, Seasonal and Residual components. STL is basically an EM-like algorithm that calculates the seasonal part assuming knowledge of the trend part (iteratively). To compute the forecast of the future values, we extrapolate the trend sub-series using regression, and use the last seasonal period of the seasonal component. 1. URL: http://www.google.com/insights/search/# 2. The time series data was pulled during July 2009, thus the value for this last month might change.The STL procedure uses 6 configuration parameters, 3 of which are smoothing parameters for the three components, which in general should be chosen per time series. The prediction process in our experiments was using a fixed STL configuration for the forecast of all the time series. Given a sampled archive of search time series, we have used an exhaustive exploration and evaluation process that was searching for the best parameter set from a pre-defined set of optional parameter values. The optimality criterion was minimal mean absolute error and the output was a single parameter set w.r.t. the given sampled archive. By choosing to use a particular (fixed) configuration, rather than adjusting an individual parameters set for each given time series, we are adjusting the configuration to a large set of time series thus simplifying the prediction model and enabling much faster forecast. Prediction Discrepancy function. We define the discrepancy D as a combination of several error metrics between the forecasted trends X F and the actual trends Y, as well as seasonal consistency metrics determined by difference in the auto-correlation between X H and X. Specifically, D is defined as a tuple: D = < MAPE, MaxAPE, NMSSE, MeanAbsACFDiff, MaxAbsACFDiff > based on metrics defined below, we say that DVoir également :
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Rues-Zone-Artisanale..> 30-May-2013 18:36 602KRues de France : Adresse ALEZ ALEZ AL LENN ALEZ AR GOSKER ALEZ GLAZ ALEZ GOZ KERGWENN ALEZ HIR ALEZ IZELA ALEZ IZELLA ALEZ KERBILIEZ ALEZ UHELA ABBE FRANZ STOCK ABER WRAC H ACHILLE BEL AJONCS ALAIN BOUCHART ALAIN COLAS ALBATROS ALEXANDRE DUMAS ALEXANDRE VERCHIN ALIZEES AMPERE ANATOLE FRANCE ANATOLE BRAZ ANDRE JARLAND ANEMONES ANGELA DUVAL ANGELE VANNIER ANNECY ANNE MESMEUR ANTOINE WATTEAU TRINITE ARCHIMEDE AR C HURE AR FAOU AR FOENNEG AR GALL ARGOAT ARMAND CHARPENTIER ARMAND ROBIN ARTHUR BORDERIE AUBEPINES AUGUSTE DUPOUY AUGUSTIN FRESNEL BECQUEREL BEG MENEZ BEL ABRI BELLEVUE BENIGUET BENJAMIN CONSTANT BERGERONNETTES BERLIOZ BERNACHES BERTRAND D ARGENTRE BOIS D AMOUR PINS NEUF QUENVEL ROCHE BONEZE BOULOUARN BRISE BRUYERES CALMETTE GUERIN CAMELIAS CAMILLE COROT CANAPE CAPITAINE JEANNAULT PEZENNEC CARN YAN CERISIERS CHAMONIX CHARDONNERETS GOFFIC PEGUY ROLLAND CHARMILLES CHARMILLES LANDE LOTHAN CHATAIGNERS CHATAIGNIERS CHAUMIERE FER CHENES CHENES VERTS CHEVREFEUILLES C HOAS LEORET CINQ CLAUDE DERVENN CLAUDE MONET CLAUDE PERRAULT COAT AN LEM COATANLEM COLONEL REMY COQS CORMORANS CORNOUAILLE COSMEUR COSQUER COUDRIERS COURLIS CREIS KADOR CYPRES CYTISES DA GUER D AQUITAINE BALANEC BOISEON PEN AR HOAT BREMILLIEC BROCELIANDE BUDE STRATTON DEBUSSY COAT AMOUR COAT CHAPEL COATELAN CORNOUAILLE COUBERTIN CROAS HENT GORREKEAR KERARBLEIS KER ARZEL KERAYEN KERBARS KER CERF KERDANIEL KERDEOZER KERDOUR KERGOLVEZ KERGOSTIOU KERGROACH KERHUEL KERIEL KERIGONAN KERINOU KERJEAN KERJEGU KERLAN VIAN KERLAN VRAS KERLEZANET KERLIEN KERLORET KERMARIA KERMOGUER KERMORVAN KERNENEZ KERNISY KEROUDOT KEROURVOIS KERSALE KERUSTUM KERVALLAN KERVARLAES KERVERN KERVIGNAC KERVOALIC L ABER BENOIT L ABER ILDUT L ABER WRACH CHAPELLE CHAPELLE NEUVE COUDRAIE CROIX DAME CARDE FEE VIVIANE FONTAINE FONTAINE AUX ANGLAIS GUADELOUPE GUYANE L ALSACE LANADAN LANNEVEL LANNIRON PENFELD PLEIADE LARC HANTEL REUNION L ARGOAT ROCHE PERCEE LAVALOT VOIE ROMAINE L ELORN LENHESQ L ETANG L HERMITAGE L IRLANDE L IROISE L ISOLE LOCAL HILAIRE L ODET LOSSULIEN MANAR LAK MENEZ KERVEADY MEZ YAN DEMOISELLES MOLENE NAVALHARS DENIS PAPIN DENTELLIERE PARK AN TI PENANCREACH PEN AR C HOAT PEN AR GUER PEN AR MENEZ PEN AR PEN AVEL PEN ERGUE PENFOULIC PENHOAT PENNERVAN PEN RUIC PRAT AR ROUZ PRAT AR ROZ PRAT GUEN PRAT HIR PROVENCE ROZARGUER ROZ AVEL 4 VENTS ABERS ACACIAS AIGRETTES EUGENE NEVEZ AJONCS AJONCS D OR ALIZES ALOUETTES AUBEPINES AVOCETTES BERGERONNETTES BERGERS BOULISTES BOUVREUILS BRUYERES CAMELIAS CEDRES CELTES CERISES CERISIERS CHAPERONS CHARMILLES CHATAIGNIERS CHENES CIGOGNES COLOMBES COQUILLAGES CORMIERS CORMORANS COURLIS CYPRES DAHLIAS DEPORTES ECUREUILS ECUYERS EGLANTINES EIDERS ENCLOS ERABLES ETANGS KERUZAS FAUVETTES FILETS BLEUS FLEURS D AJONCS FONTAINES FRAISES FRENES FRERES LUMIERE FUCHSIAS FUSAINS GENETS GENETS D OR GERANIUMS GLENANS GLYCINES GOELANDS GRANDS SABLES GROSEILLES GUILLEMOTS HETRES HIRONDELLES HORTENSIAS HOUX IRIS JARDINS JASMINS JONQUILLES 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EGLANTINE ELORN EMBRUNS ERISPOE ERNEST L ECLUSE ERNEST PSICHARI ERNEST RENAN FEUNTEUN SANE FILANDIERES FILOMENA CADORET FLEURS FONTAINE FORGES ARAGO BUZOT COPPEE DUINE KERBOURCH MAURIAC MENEZ FREDERIC JOLIOT FREDERIC GUYADER FREGATES FRERES CLEMENT FROMVEUR GALLIENI GASTON ESNAULT G BRIOT MALLERIE GENETS GENETS LOCQUERAN MACE GOAREM BIHAN GOAREM PIN GOELANDS GOUNOD GOZ G POITOU DUPLESSY GRAINVILLE GUESTEN GUIAUTEC APOLLINAIRE BUYS GUSTAVE COURBET GWELL KAER TREBEUZEC H BOURDE ROGERIE HELENE BOUCHER HENRI WACQUET HENRY CHATELIER HERONS HIRONDELLES HORTENSIAS IRIS IROISE IZELLA JACQUES PREVERT JAKEZ RIOU JARDINS JARL PRIEL BAPTISTE CHARCOT BAPTISTE LOUVET BOUIN DONNARD MILLET JULIEN LEMORDANT LAGADIC CORRE LOUIS CHUTO DEGUINET MESCHINOT MORAND JEANNE FLAMME JEANNE VALMIER QUEIGNEC YVES LEVENES JEFF PENVEN J L G NAOUR J L GREVELLEC JONQUILLES JOSE MARTINACHE JOSEPH GAY LUSSAC KERADEN KERALLAIN KERANGUDEN KERAUDREN KERAUTRET KERAVILIN BIAN KERBLEUNIOU KER BREACH KER EOL KERGALY KERGONDA 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KERARIS KERBELLEC KERBEOCH KERBERON IZELLA KERBRIGENT KERCOLIN KERDANET KERDANET COSQUER KERDERO KEREQUEL KERFEUNTEUN KERGANOU KERGOZ KERGRIMEN KERGUESTEN KERHOS KERHUEL KERIEQUEL KERIOUANT KERIVOAL KERIVOALEN KERLANO KERLEIGUER KERLIFRIN KERMARIG KERMOJEAN KERNEC KERNEOST KERNILIS KERNIOU KERNISY KERNON KEROHAN KERORGANT KEROUANT KEROUES KEROUZACH KERRICHARD KERRIEN KERSALE KERSEAL KERSYVET KERUSTER KERVARGON KERVELLIC KERVENNOS KERVEUR KERVIHAN KERYANNO KERZERVAN KILOURIN KORRIGANS KRINNOC CARRIERE CROIX LAFFLOSQUE LANNIDY TREVIDY LANNOU LANTIGEN LARENVOIE LAVOIR LAVOIR SAINTE CHRISTINE LAVOIRS LEN GOZ LESQUIDIC IZELLA LESQUIDIC NEVEZ LESQUIDIC TRAON LEURGADORET LEZOUZARD LILAS LINGOZ LINIOUS LISTRY VRAZ LOCAL AMAND LOUIS GUENNEC LOZ MANOIR TREGUER MAT PILOTE MEIL PRY MEJOU KERANDOUIN MELAZE COSQUER MENDIANTS MENEC MENEZ MENEZ BRAS NEVEZ MENEZ BRAZ MENEZ BRUG MENEZ GURET MENEZ KERGUESTEN MENEZ KER GUYOCH MENEZ LAE MENEZ PLENN MENEZ ROUZ MENHIR MESLAN MESSOUDALC H MEZALE MEZALE COSQUER MEZOU VOURCH MINEZ GOUYEN MOGUEROU MOINEAUX MOINES BLANCS MOLENE MOUETTES HENANT KERANGOC TRESIGNEAU MUR NOGUELLOU NOISETIERS NOISETIERS KEREZ OUESSANT PACIFIQUE PARC AR CASTEL PARC BRIS PARC C HOESSANT PARC MARCHE PARC MINE PARK DOUAR BERGE PARK MINN PARK ROZ SERUZIER PEINTRES PEMPOUL PEN PEN AN ENEZ PEN AR C HOAT MOUSTERLIN PEN AR C HRA PEN AR HOAT PEN AR PARC PEN AR PAVE PEN AR STER PENFOENNEC PENFRAT PENHOAT SALAUN PENN AR VUR PENQUER PERCHE FONTAINE SUISSE PHARE TRAIN PEUPLIERS PIGEONNIER PINS PLAGE PLAGE GRISE POINTE POINTE PRIMEL POINTE GLUGEAU ALIBEN AR BLEIZ AR CHLAN PONTI PONTUAL VIAN PORS AR VILIN VRAS PORS CAVE PORSMELLEC PORZ OLIER POUL POUL ALEN POULALLANICK POUL AR COQUET POUL AR GOQUET POUL FANG POULGIGOU POULL CALLAC POULLOGODEN PRAIRIE PRAT CUIC PRAT HIR PRES PRESBYTERE PUITS QUISTILLIC REA RELIQUES RELUYEN RESTAURANT KEROUDOT RESTIC VIAN RIVIERE ROC AR C HAD ROCHES ROCH YAN ROSCAROC ROSCOLER ROUDOUIC ROZ AR GRILLET ROZBEG ROZ DANIELOU ROZ GLAZ RUBIERN RUISSEAU SAINTE CHRISTINE RUMORVAN RUN AN ILIZ RUN AR C HAD RUN AR HAD RUN AR LOUARN RUN LAND RUZ CONAN GONVEL ARGENTON GUENOLE JULIEN PHILIBERT SALAMANDRES SAN DIVY BOURG SERINGAS SKEIZ SOURCE SQUIVIT STADE STANG KORRIQUET STANG ROHAN STER CHLAON TAHLI TERRASSE THEVEN CARN TI BRAS TI LIPIG TI NEVEZ KERLAGATHU TORREYEUN TOUL BLEIS TOUL PESKET TOURTERELLES TRAON BIAN TRAON BIHAN LAMBEZELLEC TRAON KER ILLIEN SERPIL TREAS TREBERRE TREOMPAN TRESSENI TREVARGUEN IZELLA TROBORN TROIS CHENES TROLAN TRONEOLY TROVERN TY KELES TY NOD TY RUZ TY STER TY TAD COZ VALANEC VANDREE VARQUES VERDIERS VERN GLAZ VERT VIEUX CAPTAGE VIEUX FOURS VILLEMET VILLENEUVE VINIOU Y RHEUN AR CHEM QUENEACH CHENES CHENES KERANDRO CHERON CHEROU CHEVREL CHEZ MME GILLES C 153 HENT CHRA BOHAST CHRIST CINQ 4 VENTS ABER AJONCS AJONCS D OR ALLAIN ALOUETTES ANCIENS ARGOAT AR VERN VRICK AR VODENIC AR VODENIG AR VODENNIC AR VODENNIG ARZELLIS AUBEPINES AULNE BARADOZIC BEAUSEJOUR BEL AIR BELENOU BELLEVUE BELVEDERE BIS BOULEAUX BOULVAS BRUYERES BUTTE CAMELIAS CAVENTOU CHALONIC D EAU CLAIR LOGIS COADIC COMMERCIALE COSQUER VIAN CREAC AL LEO CREACH AR LEO CREACH MICKAEL CRINOU CROAS AR BEUZ CROAS AR GARREC CROAS HIR CROIX MISSIONS CROIX ROUGE D ANTIN BELLEVUE KER ANNA KER ELO KERGUELEN KERMENGUY KERSAUX KROAS SALIOU PAIX RUCHE TERRE NOIRE L ODET PORS MOELAN AJONCS D OR ANCIENS BRUYERES CHARDONS BLEUS FLEURS GENETS HORTENSIAS MARRONNIERS PINS RAMIERS ROSIERS TY BOURHIS DUTERQUE DOURIC CHANOINE CHAPALAIN CROIZIOU GUESCLIN MENEZ BIROU PICHERI 18 ALEZ AR GOSKER PICHERI 19 ALEZ AR GOSKER EGLANTIERS EGLANTIERS NIZON ERNEST RENAN AIRIAU FAO FONTAINE FONTAINES FONTAINE FREDLAND FRELAND FRIEDLAND GARO GARVAN GARZABIC GENETS GENETS D OR GLYCINES GOLLEN GORREKEAR GRATZ GUENAN GUENANS GUENON GUEVEN GUILLY GWEL KAER HENT COZ HIRONDELLES HLM KERHALLON VIHAN HORTENSIAS ILES IRLANDE IZELLA JARDINS ASSOLANT JAURES JEANNE D ARC JONQUILLES JULES DUTERQUE JULIA KER ABARDAEZ KERADENNEC KERALGUY PORSMILIN KER ANNA KERARZANT KERAVEL KERAZAN KERBINIOU KERBLEUNIOU KERBRUG KER COADIC KERDOUSSAL KEREAN KERELLEAU KER ELLEZ KERENTRECH KER EOL KERESPERN KEREVER KERFEUNTEN KERFEUNTEUN KERGALL KERGANAVAL KERGAUTHIER KERGAUTIER KERGOFF KERGUEN KERHEUN KERHORNOU KERIBIN KERIEQUEL KERIFAOUEN KERILIS KERINCUFF KERIVARCH KER IZELLA KERJACOB KERJEAN KERLAOUEN KERLEVEN HUELLA KERLOCH KERLOQUIC KERMARIA KERMILIAU KERMILLAU KERMILLEAU KERMILLIAU KERMOOR KERNAOGUER KERNEVEZ KEROHOU KEROZA KERRENTRECH KERRIOU KERROZA KERSABILIC KERSIOUL KERVAO KERVENNEC KERVEUR KERVILAR KERVIZIGOU KERVOAZEC KERYEQUEL LAENNEC LANNIEN LANN ROHOU LANORGANT LAURIERS LESSARD LILAS LOCH POAS MADELEINE MAHE MATHIEU DONNARD MATHIEU DONNART MEIL COAT BIHAN MENEZ BIHAN MENEZ GOUERON MENEZ HOM MESANGES MESMEUR MIMOSAS MONTGOLFIER MOULIN VENT NEVEZ KERBRAT NOTRE DAME ODET ORATOIRE PARC AN DOSSEN PARC EN DOSSEN PARK AR ROZ PARK BRAS PARK FEUNTEUN PARMENTIER PAU PENAMPRAT PEN AR DORGUEN PEN KERNEVEZ PENMEUR PENN KERNEVEZ PESMARCH PHARES PICHERI 15 ALEZ AR GOSKER BENOIT PINS POL AURELIEN POMMIERS PONANT AR MANACH GUEN ILIS PER PORS NEVEZ PRAJOU GUEN PRAJOUS GUEN PRAT HIR PRAT KERGOE PRAT PER PRAT TUDAL PRATUDAL PRIMEVERES QUATRE VENTS QUEFFELEC QUILLIEN QUILLIMADEC RADIOPHARE RAMIERS REUN AR MOAL RHUNEMEZ ROSCO ROSIERS ROUALLOU ROUALOU ROUELLOU ROZ ROZ AVEL ROZENGALL ROZ VOEN RUMERIOU SABLES BLANCS SAINTE BARBE LAURENT MARC MAUDET AURELIEN POL AURELIEN POL D AURELIEN ROCH STANISLAS SAULES SOLEIL LEVANT STADE STANG LOUVARD STANG VIAN STANG VIHAN STANKOU SUFFREN TACHEN FOIRE TACH GLAZ TAL AR VORC H TARROS THEODORE BOTREL TOUL AR HOAT TREGONETER TREGOR TREMENTIN TREMINTIN TROENES TY BODEL TY FEUNTEUN TY GLAS TY GLAZ TY GUEN TY GWEN TY JEROME TY LANN TY VOUGERET USINE HERBOT VELNEVEZ VILIN AVEL VILLENEUVE YANN D ARGENT YEUN PARGAMOU CLAIRE FONTAINE CLARTE CLASTRINEC CLECH BURTUL CLECH MOEN ILE MOLENE ILE QUEFFEN ILES ILE ILE S COMBOUT ILE TRISTAN ILE VIERGE ILIS COZ 19 MARS 1962 ABBADIE ABBE FLEURY ABER BENOIT ACACIAS ADOLPHE BEAUFRERE AJONCS AJONCS D OR AJONCS KEROU ALAIN SAGE ALAVOINE ALBERT CAMUS ALEXANDER GRAHAM BELL BEAU VIGNY NOBEL AL LANN VERTE ALOUETTES ALPHONSE DAUDET ALSACE AMBROISE PARE AMEDEO MODIGLIANI AMIRAL RONARC H ANATOLE BRAS ANATOLE BRAZ AN AVEL C HOUZI AN AVEL VIZ ANCIENNE ROUTE QUILLOUARN AN DIOU GER ANDRE CHENIER ANDRE SUAREZ AN DREZEC ANEMONES ANEMONES MAISON ANJELA DUVAL ANNE BRETAGNE ANSE ANTOINE WATEAU ANTOINE WATTEAU AR C HOAT PIN AR FOENNEC AR FOENNOG AR FORHEN AR GOAREM NEVEZ AR GOAREM VIHAN ARGOAT AR GORRE AR MEAN ARMEN ARMOOR ARMOR ARMORIQUE AR ROZ BRAS AR ROZ BRAZ AR ROZIG AR STERENN AR STIVELL AR VEL AR WAREMM VANAL ATLANTIQUE AUBEPINES AUGUSTE BERGOT AUGUSTE BRIZEUX AUGUSTE RENOIR AUGUSTIN MORVAN AVEL AR MOOR AVEL DRO AVEL VOR AYMER BAIE BALANEC BANINE BAR AL LAN BAR AL LANN BAUDELAIRE BEAUMARCHAIS BEAUSEJOUR BEG AL LANN BEG AN ENEZ BEG AN ISTR BEG AR C HASTEL BEG AR GROAS BEG AR ROZ BEG AVEL BEG LAND BEG LAND RIEC BEG NENEZ BEL AIR BELLEVUE BELLE VUE BELVEDERE BERNARDINE GARREC BERNARD PALISSY BERVILLE BETHEREL BIRDIE BLAISE CENDRARS BLAISE PASCAL BLANQUI BLERIOT BODROC H BOGEY BOILEAU BOISSIERE BONEZE BORIS VIAN BOUILLEN BOUTONS D OR BOUVREUILS BRANLY BREIZ IZEL BRENNANVEC BREZEHEN BRIZEUX BROUAN BRUYERES BUTOU BUTTE CALMETTE CALMETTE GUERIN CAMELIAS CAMILLE COROT CAPUCINES CARBONT CARREC ZU CASSARD CASTEL DOUR CAVE CENDRES CERISIERS CHAISES CHALUTIERS CHAMAILLARD CHAMP LIN CHAPELLE CHARCOT COTTET GOFFIC GOUNOD BASTARD GOFFIC PEGUY VOISIN CHARLIE PARKER CHATAIGNERAIE CHATAIGNIERS CHATEAUBRIAND D EAU CHAUMIERE DAMES CHEMINOTS CHENES CHEVREUILS CHRYSALIDES IMPASSE E D F CLAUDE BERNARD CLAUDE GUEN CLAUDE MONET CLEMENT MAROT CLIZIT CLOS CLOS NEVEZ COAT EOZEN COAT PIN COLBERT COLIBRIS COLLINE COMMANDANT CHARCOT COMMANDANT MOGUEROUX COMMANDANT NOEL COMPAS COQUELICOTS CORAN CORBEAU CORDELIERE CORDIER CORMORANS CORNGAD CORNICHE COSQUER COST AR STER COSTE BRIX COTEAU KERANGLIEN COURBET COURLIS COZ CASTEL COZ DOUAR COZ MANER CRAPAUD CREACH CREAC H CREAC AVEL CREAC GUEN CREACH COAT CROAS AR BLEON CROAS AR VILLAR CROAS KERLOCH CROAS VILAR CROISEUR LEYGUES CROISEUR GLOIRE CROISEUR MONTCALM CROIX ROUGE CRUGUEL CYPRES DAHUT DANIEL BERNARD D ARVOR BENIGUET CANAPE COAT HALEG COAT KERHUEL COAT MENGUY COAT MEZ CORNOUAILLE D ECOSSE CROAS AR GAC CROAS AR VOSSEN GALICE GUERNESEY JERSEY KERANDRAON KERAUDY KERBERVET KERBIRIOU KERDANIEL KERDIDREN KEREDERN KERFOS KERFRES KERGONAN KERGONIAM KERGRENN KERGROAS KERGROES KERGUIDAN KERGUS KERHELENE KERHUN KERIEZOU KERIVARCH KERLEGUER KERLEREC KERLIES KERLIGRISTIC KERLOSQUET KERMAHOTOU KERMARRON KERMEUR KERONTEC KEROURVOIS KERSCOFF KERSENE KERSINAL KERSQUINE KERUCHEN KERVEZINGAR HUELLA KERVIGNOUNEN KERVILER KERZOURAT BARRIERE L ABER CARAVELLE CHAPELLE EDF CROIX ROUGE DUNDEE FEE MORGANE FEE VIVIANE FELOUQUE FONDERIE FONTAINE FONTAINE AU LAIT FORET FORGE FREGATE GALICE GALIOTE GOELETTE LANDE MAISON BLANCHE MAISON ROUGE MINOTERIE MISAINE MONTAGNE MOTTE LANDOUARDON NEF L ANSE PRAIRIE ROCHE ROCHE BEAUBOIS RUCHE SOURCE TOUR TROMENIE 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ROMAINS ROSES SANTOLINES SAULES SERINGAS SORBIERS TADORNES TAMARIS TANNERIES TOURTERELLES TRITONS TROENES VANNEAUX DETENTE TOUL AN DREZ TREBEHORET VERDUN DEYROLLE DIBEN VIAN DIDIER DAURAT DIEUDONNE COSTES D IRLANDE DIXMUDE D IZAC CALMETTE PALAUX DOLMEN DOMAINE MICHEL NOBLETZ DOSSEN DRENEC DREZIC 18 JUIN 1940 BEREVEN BERGOT D AMOUR BOULOGNE BRICK BRIGANTIN CALVAIRE CAPITAINE COOK CARBONT CELTIC CERISIER ROSE D EAU CLOS DUVAL CONTE COTRE DUCOUEDIC COUEDIC DUCRETET CRUGUEL MORVAN ROUX VOURCH DRAKKAR DRENEC FLIMIOU FROMVEUR GOLVEZ GRAAL KERVEN DUGUAY TROUIN GUESCLIN HEROS DUKE ELLINGTON LARGE LAVOIR LAYOU LOCH MEJOU LEZANNOU MERLE BLANC MINEZ MITAN MOGUER MONITOR KERLOBRETD DUNES NEVET DUNOIS PAYS GALLES PELICAN PERCEVAL POMMIER BLANC PONTIGOU PORS GWIR PUITS REUNIAT REVEL RIVAGE ROALIS ROHOU ROI ARTHUR ROZ RUMEN SOLEIL LEVANT STAND STANG VERGER VIBEN VIEUX ECOLE FILLES ECOLES ECURIEES ECURIES EDMOND CERIA EDMOND ROSTAND EDOUARD CORBIERE EDOUARD LALO EMBRUNS EMERAUDE EMILE BERNARD EMILE ERNAULT EMILE MASSON EMILE SOUVESTRE EMILE ZOLA EN BAS EN BAS LESTREVET EN BAS VILLA KERJANYVIERE EOLE EPERVIERS ERABLES ERIC TABARLY ERMITAGE ERNEST RENAN ESTIENNE D ORVES E TAL ARMOR ETANG EUGENE BELEGUIC EUGENE BERTHOU EUGENE GONIDEC FALC HUN FAUVETTES FERNAND GUEY FEUNTEUN AR ROZEN FEUNTEUN BOL FEUNTEUNIC AR LEZ FEUNTEUNIGOU FEUNTEUN VENELLE FEUNTEUN VERO FIGUIERS FLEURS FLEURUS FONTAINE FOUGERES FOYER 1 ER CUEFF DUAULT LALAISSE VILLON FRANKLIN ROOSEVELT FREDERIC GUYADER FREDERIC MISTRAL FREGATE DECOUVERTE FREGATE LAPLACE FRENES FROMVEUR GABRIEL SIGNE GABRIEL LIPPMANN GAGARINE GALETS GAMBETTA GARENNE GAUGUIN GENETS GENETTES GEORGE SAND BIZET BRASSENS BAIL GERARD NERVAL GIROFLEES GLAIEULS GLENAN GLINEC GLYCINES GOAREM HUEL GOAREM IZELLA GOAREM PERZEL GOARIVEN GOLF GORLANIC GORREQUEAR GOUELET AR LEN GOUEROU GOULET GOULITQUER GOURANOU GRADLON TERRE VENELLE LARGE GREEN GRILLONS GUEL GUELEDIGOU CALVEZ JAN GUIP GUSTAVE FLAUBERT GUSTAVE LOISEAU GUYNEMER GWALARN GWAREMM AR GWELTOC GWEZ KIGNEZ HARAS HAUTS GUERN HAUTS TERENEZ HELENE BOUCHER HENRI BECQUEREL HENRI CARIO HENRI DRONIOU HENRI LAUTREDOU HENT AR VEIL HENT BIAN HENT GLAZ HERVE PORTZMOGUER HIRONDELLES HONORE DAUMIER HORTENSIAS HUEL POULDU ILDUT ILE D YOC K ILE NOIRE ILES IROISE JACINTHES JACQUES BREL JACQUES CARTIER JACQUES DAGUERRE JACQUES GIOCONDI JAOUA JARDINS BARRE BART BOSCO CABIOCH CLOAREC TARTU GIONO JACQUES ROUSSEAU JAURES JULIEN LEMORDANT MERMOZ JEANNE D ARC OBERLE RACINE RICHEPIN JEMMAPES JOACHIM BELLAY JOLAIS JONQUILLES JOS PARKER JULES GOFF JULES MASSENET JULES JULES VERNE KARECK HIR KASTEL KASTELL DOUN KERADEN KERALLE KERAMBAIL KERAMBARBER KERAMBRAS KERAMERRIEN KERANDEN KERANDOUIN KERANDRAON KERANDREON KERITY KERANGUEN KERANGUYON VIHAN KERANGWEN KERANNA KERANROCH KERANROUX KERARMOIGN KERAUDREN KERAVEEC KERAVEL KERAVEN VRAS KERBELEYEN KERBRAT KERBRIANT KERCO KERCONAN BIHAN KERDIES KERDREVOR KEREOL KER EOL KER EOL TREZ HIR KEREON KEREVEN KERFRAM KERFREQUANT KERGARADEC KERGLEDIG KERGLOS KERGOALABRE 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MAHALIA JACKSON MAISON SAGES MANER BIHAN MANOIR KERBADER MARCEAU CURIE JEANNE GLOANEC MARINE MARNE MARQUISE KERGARIOU MARRONNIERS MARYSE BASTIE MATILIN AN DALL MAURICE BARLIER MAURICE BELLONTE MAURICE BROGLIE MAURICE RAVEL MECHOU MEIL HASCOET MEJOU ERC H MEJOU GLUJURAT MEJOU GLUJURET MEJOU KERLANO MEJOU KERONTEC MEJOU MOOR MEJOU SILINOU MENE MENEZ MENEZ AR VEIL MENEZ BERROU MENEZ BRIS MENEZ GROAZ MENEZ KADOR MENEZ KERGUESTEN MENEZ KERNUN MENEZ KEROUIL MENEZ QUENET MENEZ ROZ MENHIR MER MERLIN L ENCHANTEUR MESANGES MESCAM MEZEOZEN MEZMORVAN MEZOU MEZOU VILIN MICHEL GARS MICHIGAN MIMOSAS MINEZ MIQUEL MIRABEAU MISAINIERS MOGUERIOU MOLIERE MONFORT KERDILES MONTE AU CIEL MOTTE MOUETTES MOULIN ARGENT CARAIT CARN CASSE SALLES D OR GOUEZ MOULINS MOUZOU MYOSOTIS MYRDHINE MYRTILLES NAOD AN NEACH NAVAROU NEREIDES NICEPHORE NIEPCE NOMINOE NORD NOROIT NOTRE DAME NYASSA NYASSAS ODEVEN OISEAUX ORMES OUESSANT OYATS PABLO PICASSO PAIX PALMIERS PALUD BIAN PAQUERETTES PARC PARC AN ABAT PARC AR BRIAL PARC 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LANVEUR HUELLA LANVEUR IZELLA LANVEZENNEC LANVEZENNEG LANVIAN LANVIDARCH LANVIGUER LAN VIHAN BELLEVUE LANVIHAN KERGASTEL LANVILIO LANVILLOU LANVILY LANVINIGER LANVINTIN LANVISCAR LANVIVAN LANVIZIAS LANVOEZEC LANVON LANVORAN LANVORIEN LANVOUEZ LAN VRAS LANVREIN LANVREL LANVREON LANVRIZAN LANZANNEC LANZAY LANZENT LANZEON LANZEOU LANZIGNAC LANZULIEN P 16 GARENNE LANVERNAZAL PALUD KEREMMA PALUE PALUS KERGARADEC BOISSIERE GARENNE METAIRIE MOTTE PALUD SAUVAGERE PEUPLERAIE PINEDE CROISSANT KERGUELEN PLAINE POINTE POMMERAIE KERBORCH RAISON LARAON L ARCHIPEL HENT AN DACHENN LARDANVA LARIEGAT RIVIERE LARLAN LARLANT LARMOR ROCHE ROCHE CINTREE ROCHE NOIRE MOLE LAROM LAROM VIAN ROTONDE LARRAGEN LARRET LARRIAL LARRIDEG LARRIN LARVEZ LARVOR LARVOR KERNU LARVOR MEJOU ERCH SALLE SALLE PENHOATHON SALLE POULFONNEC SALLE VERTE SAPINIERE SAPINIERE VERN SECHERIE SOURCE STATION TORCHE VALORDY TOUR LATOUR TRINITE TRINITE COADENEZ TRINITE COATUELEN TRINITE ILIOC TRINITE KERARGOURIS TRINITE KERARGUEN TRINITE 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